The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031784941
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031783883
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031781063
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031781094
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
image Segmentation is necessary stage in image investigation. In computer vision, image segmentation is the process of dividing digital image into multiple segments. Dividing the image into various parts simplifies th...
详细信息
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031781247
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031781124
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031783975
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031801358
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Il...
ISBN:
(纸本)9783031781971
The proceedings contain 958 papers. The special focus in this conference is on patternrecognition. The topics include: Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness;IFFusion: Illumination-Free Fusion Network for Infrared and Visible images;infrared and Visible image Fusion Method Based on Learnable Joint Sparse Low-Rank Decomposition;Glare-SNet: Unsupervised Glare Suppression Balance Network;Learning to Detect Lithography Defects in SEM images;time-Aware Intent Contrastive Learning with Rare-Class Sample Generator for Sequential Recommendation;UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning;effects of Primary Capsule Shapes and Sizes in Capsule Networks;ASwin-YOLO: Attention – Swin Transformers in YOLOv7 for Air-to-Air Unmanned Aerial Vehicle Detection;quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity;dualswin-Ynet: A Novel Bimodal Fusion Network for Ship Detection in remotesensingimages;STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting;BF-UNet: Bi-level Routing Attention U-shaped Network Based on Explicit Visual Prompt;learning Dynamic Representations in Large Language Models for Evolving Data Streams;attend, Distill, Detect: Attention-Aware Entropy Distillation for Anomaly Detection;pneumonia Classification in Chest X-Ray images Using Explainable Slot-Attention Mechanism;SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas;WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking;detection of Oral Potentially Malignant Lesions Through Transformer-Based Segmentation Models;ROI-Aware Dynamic Network Quantization for Neural Video Compression;secureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning;TVT: Training-Free Vision Transformer Search on Tiny Datasets;one-Shot Classification Is Enough for Automatic Label Mapping;sustainable and
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