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检索条件"任意字段=Conference on Computer Vision and Pattern Recognition"
29687 条 记 录,以下是4671-4680 订阅
排序:
Generating Non-Stationary Textures Using Self-Rectification
Generating Non-Stationary Textures Using Self-Rectification
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conference on computer vision and pattern recognition (CVPR)
作者: Yang Zhou Rongjun Xiao Dani Lischinski Daniel Cohen-Or Hui Huang Shenzhen University The Hebrew University of Jerusalem Tel Aviv University
This paper addresses the challenge of example-based non-stationary texture synthesis. We introduce a novel two-step approach wherein users first modify a reference texture using standard image editing tools, yielding ... 详细信息
来源: 评论
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CORES: Convolutional Response-based Score for Out-of-distrib...
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conference on computer vision and pattern recognition (CVPR)
作者: Keke Tang Chao Hou Weilong Peng Runnan Chen Peican Zhu Wenping Wang Zhihong Tian Guangzhou University University of Hong Kong Northwestern Polytechnical University Texas A&M University
Deep neural networks (DNNs) often display overconfidence when encountering out-of-distribution (OOD) samples, posing significant challenges in real-world applications. Capitalizing on the observation that responses on... 详细信息
来源: 评论
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
Selectively Informative Description can Reduce Undesired Emb...
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conference on computer vision and pattern recognition (CVPR)
作者: Jimyeong Kim Jungwon Park Wonjong Rhee Department of Intelligence and Information Seoul National University IPAI Seoul National University RICS Seoul National University
In text-to-image personalization, a timely and crucial challenge is the tendency of generated images overfitting to the biases present in the reference images. We initiate our study with a comprehensive categorization... 详细信息
来源: 评论
Adversarial Threats to DeepFake Detection: A Practical Perspective
Adversarial Threats to DeepFake Detection: A Practical Persp...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Neekhara, Paarth Dolhansky, Brian Bitton, Joanna Ferrer, Cristian Canton Univ Calif San Diego La Jolla CA 92093 USA Facebook AI Menlo Pk CA USA
Facially manipulated images and videos or DeepFakes can be used maliciously to fuel misinformation or defame individuals. Therefore, detecting DeepFakes is crucial to increase the credibility of social media platforms... 详细信息
来源: 评论
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
Improving Subject-Driven Image Synthesis with Subject-Agnost...
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conference on computer vision and pattern recognition (CVPR)
作者: Kelvin C.K. Chan Yang Zhao Xuhui Jia Ming-Hsuan Yang Huisheng Wang Google
In subject-driven text-to-image synthesis, the synthesis process tends to be heavily influenced by the reference images provided by users, often overlooking crucial attributes detailed in the text prompt. In this work... 详细信息
来源: 评论
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
Regularized Parameter Uncertainty for Improving Generalizati...
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conference on computer vision and pattern recognition (CVPR)
作者: Pehuen Moure Longbiao Cheng Joachim Ott Zuowen Wang Shih-Chii Liu Institute of Neuroinformatics ETH Zurich and University of Zurich
In order for reinforcement learning (RL) agents to be deployed in real-world environments, they must be able to generalize to unseen environments. However, RL struggles with out-of-distribution generalization, often d... 详细信息
来源: 评论
Accelerating Neural Field Training via Soft Mining
Accelerating Neural Field Training via Soft Mining
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conference on computer vision and pattern recognition (CVPR)
作者: Shakiba Kheradmand Daniel Rebain Gopal Sharma Hossam Isack Abhishek Kar Andrea Tagliasacchi Kwang Moo Yi University of British Columbia Google Research Google DeepMind Simon Fraser University University of Toronto
We present an approach to accelerate Neural Field training by efficiently selecting sampling locations. While Neural Fields have recently become popular, it is often trained by uniformly sampling the training domain, ... 详细信息
来源: 评论
BMAD: Benchmarks for Medical Anomaly Detection
BMAD: Benchmarks for Medical Anomaly Detection
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Jinan Bao Hanshi Sun Hanqiu Deng Yinsheng He Zhaoxiang Zhang Xingyu Li Electrical and Computer Engineering University of Alberta Electrical and Computer Engineering Carnegie Mellon University
Anomaly detection (AD) is a fundamental research problem in machine learning and computer vision, with practical applications in industrial inspection, video surveillance, and medical diagnosis. In the field of medica... 详细信息
来源: 评论
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
A Study on the Relative Importance of Convolutional Neural N...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Deldjoo, Yashar Di Noia, Tommaso Malitesta, Daniele Merra, Felice Antonio Politecn Bari Bari Italy
Visually-aware recommender systems (VRSs) enhance the semantics of user-item interactions with visual features extracted from item images when they are available. Traditionally, VRSs leverage the representational powe... 详细信息
来源: 评论
Driving Everywhere with Large Language Model Policy Adaptation
Driving Everywhere with Large Language Model Policy Adaptati...
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conference on computer vision and pattern recognition (CVPR)
作者: Boyi Li Yue Wang Jiageng Mao Boris Ivanovic Sushant Veer Karen Leung Marco Pavone NVIDIA University of Southern California University of Washington Stanford University
Adapting driving behavior to new environments, customs, and laws is a longstanding problem in autonomous driving, precluding the widespread deployment of autonomous vehicles (AVs). In this paper, we present LLaDA, a s... 详细信息
来源: 评论