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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431-440 订阅
排序:
TransNeXt: Robust Foveal Visual Perception for vision Transformers
TransNeXt: Robust Foveal Visual Perception for Vision Transf...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Shi, Dai
Due to the depth degradation effect in residual connections, many efficient vision Transformers models that rely on stacking layers for information exchange often fail to form sufficient information mixing, leading to... 详细信息
来源: 评论
CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place recognition
CricaVPR: Cross-image Correlation-aware Representation Learn...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lu, Feng Lan, Xiangyuan Zhang, Lijun Jiang, Dongmei Wang, Yaowei Yuan, Chun Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Shenzhen Peoples R China Peng Cheng Lab Shenzhen Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Over the past decade, most methods in visual place recognition (VPR) have used neural networks to produce feature representations. These networks typically produce a global representation of a place image using only t... 详细信息
来源: 评论
DUSt3R: Geometric 3D vision Made Easy
DUSt3R: Geometric 3D Vision Made Easy
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Shuzhe Leroyt, Vincent Cabon, Yohann Chidlovskii, Boris Revaud, Jerome Aalto Univ Espoo Finland Naver Labs Europe Meylan France
Multi-view stereo reconstruction (MVS) in the wild re-quires to first estimate the camera intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain, yet they are mandatory to triangulate c... 详细信息
来源: 评论
Explaining CLIP's performance disparities on data from blind/low vision users
Explaining CLIP's performance disparities on data from blind...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Massiceti, Daniela Longden, Camilla Slowik, Agnieszka Wills, Samuel Grayson, Martin Morrison, Cecily Microsoft Res Redmond WA 98052 USA World Bank 1818 H St NW Washington DC 20433 USA
Large multi-modal models (LMMs) hold the potential to usher in a new era of automated visual assistance for people who are blind or low vision (BLV). Yet, these models have not been systematically evaluated on data ca... 详细信息
来源: 评论
Lookahead Exploration with Neural Radiance Representation for Continuous vision-Language Navigation
Lookahead Exploration with Neural Radiance Representation fo...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Zihan Li, Xiangyang Yang, Jiahao Liu, Yeqi Hu, Junjie Jiang, Ming Jiang, Shuqiang Chinese Acad Sci Inst Comp Technol Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Univ Wisconsin Dept Comp Sci 1210 W Dayton St Madison WI 53706 USA Univ Wisconsin Dept Biostat & Med Informat Madison WI USA Indiana Univ Dept Human Ctr Comp Indianapolis IN 46204 USA
vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. At each navigation step, the agent selects from possible candidate... 详细信息
来源: 评论
SparseOcc: Rethinking Sparse Latent Representation for vision-Based Semantic Occupancy Prediction
SparseOcc: Rethinking Sparse Latent Representation for Visio...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tang, Pin Wang, Zhongdao Wang, Gum-ling Zheng, Jilai Ren, Xiangxuan Feng, Bailan Ma, Chao Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China Huawei Noahs Ark Lab Montreal PQ Canada
vision-based perception for autonomous driving requires an explicit modeling of a 3D space, where 2D latent representations are mapped and subsequent 3D operators are applied. However, operating on dense latent spaces... 详细信息
来源: 评论
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient vision Transformers
Multi-criteria Token Fusion with One-step-ahead Attention fo...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lee, Sanghyeok Choi, Joonmyung Kim, Hyunwoo J. Korea Univ Dept Comp Sci & Engn Seoul South Korea
vision Transformer (ViT) has emerged as a prominent backbone for computer vision. For more efficient ViTs, recent works lessen the quadratic cost of the self- attention layer by pruning or fusing the redundant tokens.... 详细信息
来源: 评论
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Surv...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Conde, Marcos, V Vasluianu, Florin-Alexandru Timofte, Radu Zhang, Jianxing Li, Jia Wang, Fan Li, Xiaopeng Liu, Zikun Park, Hyunhee Song, Sejun Kim, Changho Huang, Zhijuan Yu, Hongyuan Wan, Cheng Xiang, Wending Lin, Jiamin Zhong, Hang Zhang, Qiaosong Sun, Yue Yin, Xuanwu Zuo, Kunlong Xu, Senyan Jiang, Siyuan Sun, Zhijing Zhu, Haying Li, Liangyan Chen, Ke Li, Yunzhe Ning, Yimo Zhao, Guanhua Chen, Jun Yu, Jinyang Xu, Kele Xu, Qisheng Dou, Yong Univ Wurzburg CAIDAS & IFI Comp Vis Lab Wurzburg Germany
This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) ... 详细信息
来源: 评论
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
OpenBias: Open-set Bias Detection in Text-to-Image Generativ...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: D'Inca, Moreno Peruzzo, Elia Mancini, Massimiliano Xu, Dejia Goel, Vidit Xu, Xinggian Wang, Zhangyang Shi, Humphrey Sebe, Nicu Univ Trento Trento Italy UT Austin Austin TX USA SHI Labs Georgia Tech & UIUC Atlanta GA USA Picsart AI Res PAIR Miami FL USA
Text-to-image generative models are becoming increasingly popular and accessible to the general public. As these models see large-scale deployments, it is necessary to deeply investigate their safety and fairness to n... 详细信息
来源: 评论
Modeling Collaborator: Enabling Subjective vision Classification With Minimal Human Effort via LLM Tool-Use
Modeling Collaborator: Enabling Subjective Vision Classifica...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Toubal, Imad Eddine Avinash, Aditya Alldrin, Neil Gordon Dlabal, Jan Zhou, Wenlei Luo, Enming Stretcu, Otilia Xiong, Hao Lu, Chun-Ta Zhou, Howard Krishna, Ranjay Fuxman, Ariel Duerig, Tom Google Res Mountain View CA 94043 USA Univ Missouri Columbia MO 65211 USA Univ Washington Seattle WA USA
From content moderation to wildlife conservation, the number of applications that require models to recognize nuanced or subjective visual concepts is growing. Traditionally, developing classifiers for such concepts r... 详细信息
来源: 评论