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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是351-360 订阅
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Part-aware Unified Representation of Language and Skeleton for Zero-shot Action recognition
Part-aware Unified Representation of Language and Skeleton f...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhu, Anqi Ke, Qiuhong Gong, Mingming Bailey, James Univ Melbourne Melbourne Vic Australia Monash Univ Parkville Vic 3052 Australia Wellington Rd Clayton Vic 3800 Australia
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning la... 详细信息
来源: 评论
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object recognition
EventDance: Unsupervised Source-free Cross-modal Adaptation ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zheng, Xu Wang, Lin HKUST GZ AI Thrust Guangzhou Peoples R China HKUST Dept CSE Guangzhou Peoples R China
In this paper, we make the first attempt at achieving the cross-modal (i.e., image-to-events) adaptation for event-based object recognition without accessing any labeled source image data owning to privacy and commerc...
来源: 评论
Contextual Augmented Global Contrast for Multimodal Intent recognition
Contextual Augmented Global Contrast for Multimodal Intent R...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Sun, Kaili Xie, Zhiwen Ye, Mang Zhang, Huyin Wuhan Univ Sch Comp Sci Wuhan Peoples R China Cent China Normal Univ Sch Comp Sci Wuhan Peoples R China
Multimodal intent recognition (MIR) aims to perceive the human intent polarity via language, visual, and acoustic modalities. The inherent intent ambiguity makes it challenging to recognize in multimodal scenarios. Ex... 详细信息
来源: 评论
HyperLeaf2024-A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves
HyperLeaf2024-A Hyperspectral Imaging Dataset for Classifica...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Laprade, William Michael Pieta, Pawel Kutuzova, Svetlana Westergaard, Jesper Cairo Nielsen, Mads Christensen, Svend Dahl, Anders Bjorholm Tech Univ Denmark Dept Appl Math & Comp Sci Copenhagen Denmark Univ Copenhagen Dept Comp Sci Copenhagen Denmark Univ Copenhagen Dept Plant & Environm Sci Copenhagen Denmark
Hyperspectral imaging is a widely used method in remote sensing, particularly for use in airborne and satellitebased land surveillance. Its versatility is, however, much larger and has also seen usage in everything ra... 详细信息
来源: 评论
Atom-Level Optical Chemical Structure recognition with Limited Supervision
Atom-Level Optical Chemical Structure Recognition with Limit...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Oldenhof, Martijn De Brouwer, Edward Arany, Adam Moreau, Yves Katholieke Univ Leuven ESAT STADIUS Leuven Belgium Yale Univ New Haven CT USA
Identifying the chemical structure from a graphical representation, or image, of a molecule is a challenging pattern recognition task that would greatly benefit drug development. Yet, existing methods for chemical str... 详细信息
来源: 评论
Benchmarking Zero-Shot recognition with vision-Language Models: Challenges on Granularity and Specificity
Benchmarking Zero-Shot Recognition with Vision-Language Mode...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Xu, Zhenlin Zhu, Yi Deng, Siqi Mittal, Abhay Chen, Yanbei Wang, Manchen Favaro, Paolo Tighe, Joseph Modolo, Davide AWS AI Labs Seattle WA 98109 USA Boson AI Santa Clara CA 95054 USA Meta Menlo Pk CA USA
This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although VLMs excel in tasks like image captioning, they face challe... 详细信息
来源: 评论
Progressive Semantic-Guided vision Transformer for Zero-Shot Learning
Progressive Semantic-Guided Vision Transformer for Zero-Shot...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chen, Shiming Hou, Wenjin Khan, Salman Khan, Fahad Shahbaz Mohamed Bin Zayed Univ AI Abu Dhabi U Arab Emirates Huazhong Univ Sci & Technol Wuhan Peoples R China Australian Natl Univ Canberra ACT Australia Linkoping Univ Linkoping Sweden
Zero-shot learning (ZSL) recognizes the unseen classes by conducting visual-semantic interactions to transfer semantic knowledge from seen classes to unseen ones, supported by semantic information (e.g., attributes). ... 详细信息
来源: 评论
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
RegionPLC: Regional Point-Language Contrastive Learning for ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Yang, Jihan Ding, Runyu Deng, Weipeng Wang, Zhe Qi, Xiaojuan Univ Hong Kong Hong Kong Peoples R China SenseTime Res Hong Kong Peoples R China
We propose a lightweight and scalable Regional Point-Language Contrastive learning framework, namely RegionPLC, for open-world 3D scene understanding, aiming to identify and recognize open-set objects and categories. ... 详细信息
来源: 评论
CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion
CAFF-DINO: Multi-spectral object detection transformers with...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Helvig, Kevin Abeloos, Baptiste Trouve-Peloux, Pauline Univ Paris Saclay ONERA DTIS F-91120 Palaiseau France
Object detection on images can find benefit from coupling multiple spectra, each presenting specific useful features. However, building an efficient architecture coupling the different modalities is a complex task. Tr... 详细信息
来源: 评论
Enhancing Emotion recognition with Pre-trained Masked Autoencoders and Sequential Learning
Enhancing Emotion Recognition with Pre-trained Masked Autoen...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Zhou, Weiwei Lu, Jiada Ling, Chenkun Wang, Weifeng Liu, Shaowei Chinatelecom Cloud Chengdu Peoples R China
Human emotion recognition plays a pivotal role in facilitating seamless interactions between humans and computers. This paper delineates our methodology in tackling the Valence-Arousal (VA) Estimation Challenge, Expre... 详细信息
来源: 评论