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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22886 条 记 录,以下是261-270 订阅
排序:
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neu...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ma, Ruichen Qiao, Guanchao Liu, Yian Meng, Liwei Ning, Ning Liu, Yang Hu, Shaogang Univ Elect Sci & Technol China Chengdu Peoples R China
Binary neural networks utilize 1-bit quantized weights and activations to reduce both the model's storage demands and computational burden. However, advanced binary architectures still incorporate millions of inef... 详细信息
来源: 评论
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xiao, Zehao Shen, Jiayi Derakhshani, Mohammad Mandi Liao, Shengcai Snoek, Cees G. M. Univ Amsterdam Amsterdam Netherlands Core42 Abu Dhabi U Arab Emirates
Image-language models with prompt learning have shown remarkable advances in numerous downstream vision tasks. Nevertheless, conventional prompt learning methods overfit their training distribution and lose the genera... 详细信息
来源: 评论
Instance-Aware Group Quantization for vision Transformers
Instance-Aware Group Quantization for Vision Transformers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Jaehyeon, Moon Kim, Dohyung Cheon, Junyong Ham, Bumsub Yonsei Univ Seoul South Korea Articron Bogota Colombia
Post-training quantization (PTQ) is an efficient model compression technique that quantizes a pretrained full-precision model using only a small calibration set of unlabeled samples without retraining. PTQ methods for... 详细信息
来源: 评论
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive vision-Language Alignment
CPLIP: Zero-Shot Learning for Histopathology with Comprehens...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Javed, Sajid Mahmood, Arif Ganapathil, Iyyakutti Iyappan Dharej, Fayaz Ali Werghil, Naoufel Bennamoun, Mohammed Khalifa Univ Sci & Technol Dept Comp Sci Abu Dhabi U Arab Emirates Khalifa Univ Sci & Technol C2PS Abu Dhabi U Arab Emirates Informat Technol Univ Punjab Lahore Pakistan Univ Western Australia Perth WA Australia
This paper proposes Comprehensive Pathology Language Image Pre-training (CPLIP), a new unsupervised technique designed to enhance the alignment of images and text in histopathology for tasks such as classification and... 详细信息
来源: 评论
A Closer Look at the Few-Shot Adaptation of Large vision-Language Models
A Closer Look at the Few-Shot Adaptation of Large Vision-Lan...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Iguez, Julio Silva-Rodr Hajimiri, Sina Ben Ayed, Ismail Dolz, Jose ETS Montreal Montreal PQ Canada
Efficient transfer learning (ETL) is receiving increasing attention to adapt large pre-trained language-vision models on downstream tasks with a few labeled samples. While significant progress has been made, we reveal...
来源: 评论
ViT-CoMer: vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
ViT-CoMer: Vision Transformer with Convolutional Multi-scale...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xia, Chunlong Wang, Xinliang Lv, Feng Hao, Xin Shi, Yifeng Baidu Inc Beijing Peoples R China
Although vision Transformer (ViT) has achieved significant success in computer vision, it does not perform well in dense prediction tasks due to the lack of inner-patch information interaction and the limited diversit... 详细信息
来源: 评论
SonicvisionLM: Playing Sound with vision Language Models
SonicVisionLM: Playing Sound with Vision Language Models
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xie, Zhifeng Yu, Shengye He, Qile Li, Mengtian Shanghai Univ Shanghai Peoples R China Shanghai Engn Res Ctr Mot Picture Special Effects Shanghai Peoples R China
There has been a growing interest in the task of generating sound for silent videos, primarily because of its practicality in streamlining video post-production. However, existing methods for video-sound generation at... 详细信息
来源: 评论
Boosting Continual Learning of vision-Language Models via Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jiazuo Zhuge, Yunzhi Zhang, Lu Hu, Ping Wang, Dong Lu, Huchuan He, You Dalian Univ Technol Dalian Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China Tsinghua Univ Beijing Peoples R China
Continual learning can empower vision-language models to continuously acquire new knowledge, without the need for access to the entire historical dataset. However, mitigating the performance degradation in large-scale... 详细信息
来源: 评论
YOLO-World: Real-Time Open-Vocabulary Object Detection
YOLO-World: Real-Time Open-Vocabulary Object Detection
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Cheng, Tianheng Sone, Lin Ge, Yixiao Liu, Wenyu Wang, Xinggang Shan, Yong Tencent AI Lab Shenzhen Guangdong Peoples R China Tencent PCG ARC Lab Shenzhen Guangdong Peoples R China Huazhong Univ Sci & Technol Sch EIC Wuhan Hubei Peoples R China
The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open sc... 详细信息
来源: 评论
RMT: Retentive Networks Meet vision Transformers
RMT: Retentive Networks Meet Vision Transformers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fan, Qihang Huang, Huaibo Chen, Mingrui Liu, Hongmin He, Ran Chinese Acad Sci Inst Automat MAIS & CRIPAC Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Sci & Technol Beijing Beijing Peoples R China
vision Transformer (ViT) has gained increasing attention in the computer vision community in recent years. However, the core component of ViT, Self-Attention, lacks explicit spatial priors and bears a quadratic comput... 详细信息
来源: 评论