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检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"
3320 条 记 录,以下是251-260 订阅
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Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Basel...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Dumitriu, Andrei Tatui, Florin Miron, Florin Ionescu, Radu Tudor Timofte, Radu CAIDAS IFI University of Würzburg Computer Vision Lab Germany University of Bucharest Romania
Rip currents are the leading cause of fatal accidents and injuries on many beaches worldwide, emphasizing the importance of automatically detecting these hazardous surface water currents. In this paper, we address a n... 详细信息
来源: 评论
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective
Investigating Catastrophic Overfitting in Fast Adversarial T...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: He, Zhengbao Li, Tao Chen, Sizhe Huang, Xiaolin Shanghai Jiao Tong University Department of Automation China
Although fast adversarial training provides an efficient approach for building robust networks, it may suffer from a serious problem known as catastrophic overfitting (CO), where multi-step robust accuracy suddenly co... 详细信息
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Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
Attention-Propagation Network for Egocentric Heatmap to 3D P...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kang, Taeho Lee, Youngki Seoul Natl Univ Seoul South Korea
We present EgoTAP, a heatmap-to-3D pose lifting method for highly accurate stereo egocentric 3D pose estimation. Severe self-occlusion and out-of-view limbs in egocentric camera views make accurate pose estimation a c... 详细信息
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Rank in Style: A Ranking-based Approach to Find Interpretable Directions
Rank in Style: A Ranking-based Approach to Find Interpretabl...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kocasari, Umut Zaman, Kerem Tiftikci, Mert Simsar, Enis Yanardag, Pinar Bogazici Univ Istanbul Turkey TUM Munich Germany
Recent work such as StyleCLIP aims to harness the power of CLIP embeddings for controlled manipulations. Although these models are capable of manipulating images based on a text prompt, the success of the manipulation... 详细信息
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WSRD: A Novel Benchmark for High Resolution Image Shadow Removal
WSRD: A Novel Benchmark for High Resolution Image Shadow Rem...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Vasluianu, Florin-Alexandru Seizinger, Tim Timofte, Radu University of Würzburg Computer Vision Laboratory Caidas & Ifi Germany
Shadow removal is an important computer vision task, whose aim is to successfully detect the shadow affected area appearing through light occlussion, followed by a photorealistic restoration of the affected image cont... 详细信息
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Differentiable Display Photometric Stereo
Differentiable Display Photometric Stereo
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Choi, Seokjun Yoon, Seungwoo Nam, Giljoo Lee, Seungyong Baek, Seung-Hwan POSTECH Pohang South Korea Meta Real Labs Menlo Pk CA USA
Photometric stereo leverages variations in illumination conditions to reconstruct surface normals. Display photometric stereo, which employs a conventional monitor as an illumination source, has the potential to overc... 详细信息
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OutfitTransformer: Outfit Representations for Fashion Recommendation
OutfitTransformer: Outfit Representations for Fashion Recomm...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sarkar, Rohan Bodla, Navaneeth Vasileva, Mariya Lin, Yen-Liang Beniwal, Anurag Lu, Alan Medioni, Gerard Purdue Univ W Lafayette IN 47907 USA Amazon Seattle WA 98109 USA
Predicting outfit compatibility and retrieving complementary items are critical components for a fashion recommendation system. We present a scalable framework, Out-fitTransformer, that learns compatibility of the ent... 详细信息
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RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth
RDONet: Rate-Distortion Optimized Learned Image Compression ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Brand, Fabian Fischer, Kristian Kopte, Alexander Windsheimer, Marc Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany
Rate-distortion optimization (RDO) is responsible for large gains in image and video compression. While RDO is a standard tool in traditional image and video coding, it is not yet widely used in novel end-to-end train... 详细信息
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Exploring and Utilizing pattern Imbalance
Exploring and Utilizing Pattern Imbalance
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Mei, Shibin Zhao, Chenglong Yuan, Shengchao Ni, Bingbing Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China
In this paper, we identify pattern imbalance from several aspects, and further develop a new training scheme to avert pattern preference as well as spurious correlation. In contrast to prior methods which are mostly c... 详细信息
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AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images
AAFormer: A Multi-Modal Transformer Network for Aerial Agric...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Shen, Yao Wang, Lei Jin, Yue China Pacific Insurance Grp Co Ltd Shanghai Peoples R China East China Normal Univ Shanghai Peoples R China
The semantic segmentation of agricultural aerial images is very important for the recognition and analysis of farmland anomaly patterns, such as drydown, endrow, nutrient deficiency, etc. Methods for general semantic ... 详细信息
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