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检索条件"任意字段=2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020"
11282 条 记 录,以下是721-730 订阅
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Leverage Interactive Affinity for Affordance Learning
Leverage Interactive Affinity for Affordance Learning
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Luo, Hongchen Zhai, Wei Zhang, Jing Cao, Yang Tao, Dacheng Univ Sci & Technol China Hefei Peoples R China Univ Sydney Camperdown Australia JD Explore Acad Beijing Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China
Perceiving potential "action possibilities" (i.e., affordance) regions of images and learning interactive functionalities of objects from human demonstration is a challenging task due to the diversity of hum... 详细信息
来源: 评论
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space
Grounding Counterfactual Explanation of Image Classifiers to...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Kim, Siwon Oh, Jinoh Lee, Sungjin Yu, Seunghak Doe, Jaeyoung Taghavi, Tara Seoul Natl Univ Data Sci & Artificial Intelligence Lab Seoul South Korea Amazon Alexa AI Seattle WA USA NAVER Search US Seongnam South Korea
Concept-based explanation aims to provide concise and human-understandable explanations of an image classifier. However, existing concept-based explanation methods typically require a significant amount of manually co... 详细信息
来源: 评论
Once for Both: Single Stage of Importance and Sparsity Search for vision Transformer Compression
Once for Both: Single Stage of Importance and Sparsity Searc...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ye, Hancheng Yu, Chong Ye, Peng Xia, Renqiu Tang, Yansong Lu, Jiwen Chen, Tao Zhang, Bo Fudan Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai Artificial Intelligence Lab Shanghai Peoples R China Fudan Univ Acad Engn & Technol Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China Tsinghua Univ Beijing Peoples R China
Recent vision Transformer Compression (VTC) works mainly follow a two-stage scheme, where the importance score of each model unit is first evaluated or preset in each submodule, followed by the sparsity score evaluati... 详细信息
来源: 评论
Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning
Fusing Pre-trained Language Models with Multimodal Prompts t...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yu, Youngjae Chung, Jiwan Yun, Heeseung Hessel, Jack Park, Jae Sung Lu, Ximing Zellers, Rowan Ammanabrolu, Prithviraj Le Bras, Ronan Kim, Gunhee Choi, Yejin Allen Inst Artificial Intelligence Seattle WA USA OpenAI Seattle WA USA Yonsei Univ Dept Artificial Intelligence Seoul South Korea Seoul Natl Univ Dept Comp Sci & Engn Seoul South Korea Univ Washington Paul G Allen Sch Comp Sci Seattle WA 98195 USA
Language models are capable of commonsense reasoning: while domain-specific models can learn from explicit knowledge (e.g. commonsense graphs [6], ethical norms [25]), and larger models like GPT-3 [7] manifest broad c... 详细信息
来源: 评论
GeneCIS: A Benchmark for General Conditional Image Similarity
GeneCIS: A Benchmark for General Conditional Image Similarit...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Vaze, Sagar Carion, Nicolas Misra, Ishan Meta AI FAIR Menlo Pk CA 94025 USA Univ Oxford VGG Oxford England
We argue that there are many notions of 'similarity' and that models, like humans, should be able to adapt to these dynamically. This contrasts with most representation learning methods, supervised or self-sup... 详细信息
来源: 评论
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling
LAVENDER: Unifying Video-Language Understanding as Masked La...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Linjie Can, Zhe Lin, Kevin Lin, Chung-Ching Liu, Zicheng Liu, Ce Wang, Lijuan Microsoft Albuquerque NM 87108 USA
Unified vision-language frameworks have greatly advanced in recent years, most of which adopt an encoder-decoder architecture to unify image-text tasks as sequence-to-sequence generation. However, existing video-langu... 详细信息
来源: 评论
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
S<SUP>3</SUP>C: Semi-Supervised VQA Natural Language Explana...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Suo, Wei Sun, Mengyang Liu, Weisong Gao, Yiqi Wang, Peng Zhang, Yanning Wu, Qi Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China Northwestern Polytech Univ Ningbo Inst Xian Peoples R China Northwestern Polytech Univ Sch Cybersecur Xian Peoples R China Univ Adelaide Adelaide SA Australia
VQA Natural Language Explanation (VQA-NLE) task aims to explain the decision-making process of VQA models in natural language. Unlike traditional attention or gradient analysis, free-text rationales can be easier to u... 详细信息
来源: 评论
PromptKD: Unsupervised Prompt Distillation for vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Langua...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Li, Zheng Li, Xiang Fu, Xinyi Zhang, Xin Wang, Weiqiang Chen, Shuo Yang, Jian Nankai Univ Coll Comp Sci PCA Lab VCIP Tianjin Peoples R China NKIARI Shenzhen Futian Peoples R China Ant Grp Tiansuan Lab Hangzhou Peoples R China RIKEN Wako Saitama Japan
Prompt learning has emerged as a valuable technique in enhancing vision-language models (VLMs) such as CLIP for downstream tasks in specific domains. Existing work mainly focuses on designing various learning forms of... 详细信息
来源: 评论
Improving Robustness of vision Transformers by Reducing Sensitivity to Patch Corruptions
Improving Robustness of Vision Transformers by Reducing Sens...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Guo, Yong Stutz, David Schiele, Bernt Saarland Informat Campus Max Planck Inst Informat Saarbrucken Germany
Despite their success, vision transformers still remain vulnerable to image corruptions, such as noise or blur. Indeed, we find that the vulnerability mainly stems from the unstable self-attention mechanism, which is ... 详细信息
来源: 评论
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection
Fresnel Microfacet BRDF: Unification of Polari-Radiometric S...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ichikawa, Tomoki Fukao, Yoshiki Nobuhara, Shohei Nishino, Ko Kyoto Univ Grad Sch Informat Kyoto Japan
computer vision applications have heavily relied on the linear combination of Lambertian diffuse and microfacet specular reflection models for representing reflected radiance, which turns out to be physically incompat... 详细信息
来源: 评论