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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是291-300 订阅
排序:
Weak-to-Strong 3D Object Detection with X-Ray Distillation
Weak-to-Strong 3D Object Detection with X-Ray Distillation
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gambashidze, Alexander Dadukin, Aleksandr Golyadkin, Maxim Razzhivina, Maria Makarov, Ilya Artificial Intelligence Res Inst Barcelona Spain HSE Univ Moscow Russia ISP RAS Moscow Russia
This paper addresses the critical challenges of sparsity and occlusion in LiDAR-based 3D object detection. Current methods often rely on supplementary modules or specific architectural designs, potentially limiting th... 详细信息
来源: 评论
Distilling vision-Language Models on Millions of Videos
Distilling Vision-Language Models on Millions of Videos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Yue Zhao, Long Zhou, Xingyi Wu, Jialin Chu, Chun-Te Mia, Hui Schroff, Florian Adam, Hartwig Liu, Ting Gong, Boqing Krahenbuhl, Philipp Yuan, Liangzhe Google Res Mountain View CA 94043 USA Univ Texas Austin Austin TX 78712 USA
The recent advance in vision-language models is largely attributed to the abundance of image-text data. We aim to replicate this success for video-language models, but there simply is not enough human- curated video-t... 详细信息
来源: 评论
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
Attentive Illumination Decomposition Model for Multi-Illumin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Dongyoung Kim, Jinwoo Yu, Junsang Kim, Seon Joo Yonsei Univ Seoul South Korea Samsung Adv Inst Technol Suwon South Korea
White balance (WB) algorithms in many commercial cameras assume single and uniform illumination, leading to undesirable results when multiple lighting sources with different chromaticities exist in the scene. Prior re... 详细信息
来源: 评论
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
CLIP as RNN: Segment Countless Visual Concepts without Train...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sun, Shuyang Li, Runjia Torr, Philip Gu, Xiuye Li, Siyang Univ Oxford Oxford England Google Res Mountain View CA 94043 USA
Existing open-vocabulary image segmentation methods require a fine-tuning step on mask labels and/or image-text datasets. Mask labels are labor-intensive, which limits the number of categories in segmentation datasets... 详细信息
来源: 评论
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Collaborating Foundation Models for Domain Generalized Seman...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Benigmim, Yasser Roy, Subhankar Essid, Slim Kalogeiton, Vicky Lathuiliere, Stephane Inst Polytech Paris Telecom Paris LTCI Palaiseau France Inst Polytech Paris CNRS Ecole Polytech LIX Palaiseau France Univ Aberdeen Aberdeen Scotland
Domain Generalized Semantic Segmentation (DGSS) deals with training a model on a labeled source domain with the aim of generalizing to unseen domains during inference. Existing DGSS methods typically effectuate robust... 详细信息
来源: 评论
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
TIGER: Time-Varying Denoising Model for 3D Point Cloud Gener...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ren, Zhiyuan Kim, Minchul Liu, Feng Liu, Xiaoming Michigan State Univ E Lansing MI 48824 USA
Recently, diffusion models have emerged as a new powerful generative method for 3D point cloud generation tasks. However, few works study the effect of the architecture of the diffusion model in the 3D point cloud, re... 详细信息
来源: 评论
DePT: Decoupled Prompt Tuning
DePT: Decoupled Prompt Tuning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Ji Wu, Shihan Gao, Lianli Shen, Heng Tao Song, Jingkuan Univ Elect Sci & Technol China UESTC Chengdu Peoples R China UESTC Shenzhen Inst Adv Study Chengdu Peoples R China Tongji Univ Shanghai Peoples R China
This work breaks through the Base-New Tradeoff (BNT) dilemma in prompt tuning, i.e., the better the tuned model generalizes to the base (or target) task, the worse it generalizes to new tasks, and vice versa. Specific... 详细信息
来源: 评论
GROUNDHOG : Grounding Large Language Models to Holistic Segmentation
GROUNDHOG : Grounding Large Language Models to Holistic Segm...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yichi Qiao, Zhiqiao Gao, Xiaofeng Shakiah, Suhaila Gao, Qiaozi Chai, Joyce Univ Michigan Ann Arbor MI 48109 USA Amazon AGI Seattle WA USA
Most multimodal large language models (MLLMs) learn language-to-object grounding through causal language modeling where grounded objects are captured by bounding boxes as sequences of location tokens. This paradigm la... 详细信息
来源: 评论
PoNQ: a Neural QEM-based Mesh Representation
PoNQ: a Neural QEM-based Mesh Representation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Maruani, Nissim Ovsjanikov, Maks Alliez, Pierre Desbrun, Mathieu Univ Cote Azur INRIA Nice France IP Paris Ecole Polytech LIX Paris France Ecole Polytech Inria Saclay Paris France
Although polygon meshes have been a standard representation in geometry processing, their irregular and combinatorial nature hinders their suitability for learning-based applications. In this work, we introduce a nove... 详细信息
来源: 评论
PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
PELA: Learning Parameter-Efficient Models with Low-Rank Appr...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Guo, Yangyang Wang, Guangzhi Kankanhalli, Mohan Natl Univ Singapore Singapore Singapore
Applying a pre-trained large model to downstream tasks is prohibitive under resource-constrained conditions. Re-cent dominant approaches for addressing efficiency issues involve adding a few learnable parameters to th... 详细信息
来源: 评论