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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23248 条 记 录,以下是421-430 订阅
Initialization Noise in Image Gradients and Saliency Maps
Initialization Noise in Image Gradients and Saliency Maps
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Woerl, Ann-Christin Disselhoff, Jan Wand, Michael Johannes Gutenberg Univ Mainz Inst Comp Sci Mainz Germany
In this paper, we examine gradients of logits of image classification CNNs by input pixel values. We observe that these fluctuate considerably with training randomness, such as the random initialization of the network... 详细信息
来源: 评论
Composing Object Relations and Attributes for Image-Text Matching
Composing Object Relations and Attributes for Image-Text Mat...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pham, Khoi Huynh, Chuong Lim, Ser-Nam Shrivastava, Abhinav Univ Maryland College Pk MD 20742 USA Univ Cent Florida Orlando FL 32816 USA
We study the visual semantic embedding problem for image-text matching. Most existing work utilizes a tailored cross-attention mechanism to perform local alignment across the two image and text modalities. This is com... 详细信息
来源: 评论
Model Inversion Robustness: Can Transfer Learning Help?
Model Inversion Robustness: Can Transfer Learning Help?
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ho, Sy-Tuyen Hao, Koh Jun Chandrasegaran, Keshigeyan Ngoc-Bao Nguyen Cheung, Ngai-Man Singapore Univ Technol & Design SUTD Singapore Singapore Stanford Univ Stanford CA 94305 USA SUTD Singapore Singapore
Model Inversion (MI) attacks aim to reconstruct private training data by abusing access to machine learning models. Contemporary MI attacks have achieved impressive attack performance, posing serious threats to privac... 详细信息
来源: 评论
Dual Memory Networks: A Versatile Adaptation Approach for vision-Language Models
Dual Memory Networks: A Versatile Adaptation Approach for Vi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yabin Zhu, Wenjie Tang, Hui Ma, Zhiyuan Zhou, Kaiyang Zh, Lei HKPolyU Hong Kong Peoples R China OPPO Hong Kong Peoples R China HKUST Hong Kong Peoples R China HKBU Hong Kong Peoples R China
With the emergence of pre-trained vision-language models like CLIP, how to adapt them to various downstream classification tasks has garnered significant attention in recent research. The adaptation strategies can be ... 详细信息
来源: 评论
LAMP: Learn A Motion pattern for Few-Shot Video Generation
LAMP: Learn A Motion Pattern for Few-Shot Video Generation
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wu, Ruiqi Chen, Liangyu Yang, Tong Guo, Chunle Li, Chongyi Zhang, Xiangyu Nankai Univ CS VCIP Tianjin Peoples R China NKIARI Shenzhen Futian Peoples R China MEGVII Technol Beijing Peoples R China
In this paper, we present a few-shot text-to-video framework, LAMP, which enables a text-to-image diffusion model to Learn A specific Motion pattern with 8 16 videos on a single GPU. Unlike existing methods, which req... 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
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Do You Remember? Dense Video Captioning with Cross-Modal Mem...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kim, Minkuk Kim, Hyeon Bae Moon, Jinyoung Choi, Jinwoo Kim, Seong Tae Kyung Hee Univ Seoul South Korea Elect & Telecommun Res Inst ETRI Daejeon South Korea
There has been significant attention to the research on dense video captioning, which aims to automatically localize and caption all events within untrimmed video. Several studies introduce methods by designing dense ... 详细信息
来源: 评论
GeoChat : Grounded Large vision-Language Model for Remote Sensing
GeoChat : Grounded Large Vision-Language Model for Remote Se...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kuckreja, Kartik Danish, Muhammad Sohail Naseer, Muzammal Das, Abhijit Khan, Salman Khan, Fahad Shahbaz Mohamed bin Zayed Univ AI Abu Dhabi U Arab Emirates Birla Inst Technol & Sci Hyderabad India Australian Natl Univ Canberra ACT Australia Linkoping Univ Linkoping Sweden
Recent advancements in Large vision-Language Models (VLMs) have shown great promise in natural image domains, allowing users to hold a dialogue about given visual content. However, such general-domain VLMs perform poo...
来源: 评论
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
From a Bird's Eye View to See: Joint Camera and Subject Regi...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Qian, Zekun Han, Ruize Feng, Wei Wang, Song Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China City Univ Hong Kong Hong Kong Peoples R China Univ South Carolina Columbia SC 29208 USA
We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration, which promotes the multi-view subject registration problem to a new calibrat... 详细信息
来源: 评论
HALLUSIONBENCH: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large vision-Language Models
HALLUSIONBENCH: An Advanced Diagnostic Suite for Entangled L...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Guan, Tianrui Liu, Fuxiao Wu, Xiyang Xian, Ruiqi Li, Zongxia Liu, Xiaoyu Wang, Xijun Chen, Lichang Huang, Furong Yacoob, Yaser Manocha, Dinesh Zhou, Tianyi Univ Maryland College Pk MD 20742 USA
We introduce "HALLUSIONBENCH(1)," a comprehensive benchmark designed for the evaluation of image-context reasoning. This benchmark presents significant challenges to advanced large visual-language models (LV... 详细信息
来源: 评论