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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22907 条 记 录,以下是4651-4660 订阅
排序:
CLIP-Guided vision-Language Pre-training for Question Answering in 3D Scenes
CLIP-Guided Vision-Language Pre-training for Question Answer...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Maria Parelli Alexandros Delitzas Nikolas Hars Georgios Vlassis Sotirios Anagnostidis Gregor Bachmann Thomas Hofmann ETH Zurich Switzerland
Training models to apply linguistic knowledge and visual concepts from 2D images to 3D world understanding is a promising direction that researchers have only recently started to explore. In this work, we design a nov...
来源: 评论
Learning by Aligning Videos in Time
Learning by Aligning Videos in Time
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Haresh, Sanjay Kumar, Sateesh Coskun, Huseyin Syed, Shahram N. Konin, Andrey Zia, M. Zeeshan Quoc-Huy Tran Retrocausal Inc Seattle WA 98052 USA
We present a self-supervised approach for learning video representations using temporal video alignment as a pretext task, while exploiting both frame-level and video-level information. We leverage a novel combination... 详细信息
来源: 评论
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
LLM-Seg: Bridging Image Segmentation and Large Language Mode...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Junchi Wang Lei Ke ETH Zurich
Understanding human instructions to identify the target objects is vital for perception systems. In recent years, the advancements of Large Language Models (LLMs) have introduced new possibilities for image segmentati... 详细信息
来源: 评论
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
PUDD: Towards Robust Multi-modal Prototype-based Deepfake De...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Alvaro Lopez Pellcier Yi Li Plamen Angelov School of Computing and Communications Lancaster University
Deepfake techniques generate highly realistic data, making it challenging for humans to discern between actual and artificially generated images. Recent advancements in deep learning-based deepfake detection methods, ... 详细信息
来源: 评论
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
Cross-Domain Gradient Discrepancy Minimization for Unsupervi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Du, Zhekai Li, Jingjing Su, Hongzu Zhu, Lei Lu, Ke Univ Elect Sci & Technol China Chengdu Sichuan Peoples R China Shandong Normal Univ Jinan Shandong Peoples R China
Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge learned from a well-labeled source domain to an unlabled target domain. Recently, adversarial domain adaptation with two distinct classifiers (bi-c... 详细信息
来源: 评论
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
SemiGPC: Distribution-Aware Label Refinement for Imbalanced ...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Abdelhak Lemkhenter Manchen Wang Luca Zancato Gurumurthy Swaminathan Paolo Favaro Davide Modolo AWS AI Labs
In this paper we introduce SemiGPC, a distribution-aware label refinement strategy based on Gaussian Processes where the predictions of the model are derived from the labels posterior distribution. Differently from ot... 详细信息
来源: 评论
Multiresolution Knowledge Distillation for Anomaly Detection
Multiresolution Knowledge Distillation for Anomaly Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Salehi, Mohammadreza Sadjadi, Niousha Baselizadeh, Soroosh Rohban, Mohammad H. Rabiee, Hamid R. Sharif Univ Technol Dept Comp Engn Tehran Iran
Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images. The challenges to learn such a representation are two-fold. Firstly, the sample size is not often... 详细信息
来源: 评论
Classifier Guided Cluster Density Reduction for Dataset Selection
Classifier Guided Cluster Density Reduction for Dataset Sele...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Cheng Chang Keyu Long Zijian Li Himanshu Rai Layer 6 AI
In this paper, we address the challenge of selecting an optimal dataset from a source pool with annotations to enhance performance on a target dataset derived from a different source. This is important in scenarios wh... 详细信息
来源: 评论
Adapting the Segment Anything Model During Usage in Novel Situations
Adapting the Segment Anything Model During Usage in Novel Si...
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ieee computer society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Robin Schön Julian Lorenz Katja Ludwig Rainer Lienhart Universität Augsburg Augsburg
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct segmentation consists in clicks on t... 详细信息
来源: 评论
Scaling Local Self-Attention for Parameter Efficient Visual Backbones
Scaling Local Self-Attention for Parameter Efficient Visual ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vaswani, Ashish Ramachandran, Prajit Srinivas, Aravind Parmar, Niki Hechtman, Blake Shlens, Jonathon Google Res Mountain View CA 94043 USA Univ Calif Berkeley Berkeley CA USA
Self-attention has the promise of improving computer vision systems due to parameter-independent scaling of receptive fields and content-dependent interactions, in contrast to parameter-dependent scaling and content-i... 详细信息
来源: 评论