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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是321-330 订阅
排序:
Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation
Stargazer: A Transformer-based Driver Action Detection Syste...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Junwei Zhu, He Zhang, Enwei Zhang, Jun Tencent Youtu Lab Shenzhen Peoples R China Tsinghua Univ Beijing Peoples R China
Distracted driver actions can be dangerous and cause severe accidents. Thus, it is important to detect and eliminate distracted driving behaviors on the road to save lives. To this end, we study driver action detectio... 详细信息
来源: 评论
Dot Distance for Tiny Object Detection in Aerial Images
Dot Distance for Tiny Object Detection in Aerial Images
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Chang Wang, Jinwang Yang, Wen Yu, Lei Wuhan Univ Sch Elect Informat Wuhan Peoples R China
Object detection has achieved great progress with the development of anchor-based and anchor-free detectors. However, the detection of tiny objects is still challenging due to the lack of appearance information. In th... 详细信息
来源: 评论
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Albanis, Georgios Zioulis, Nikolaos Drakoulis, Petros Gkitsas, Vasileios Sterzentsenko, Vladimiros Alvarez, Federico Zarpalas, Dimitrios Daras, Petros Ctr Res & Technol Hellas Thessaloniki Greece Univ Politecn Madrid Madrid Spain
Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation performance targeting precision and accura... 详细信息
来源: 评论
Multi-Class Cell Detection Using Modified Self-Attention
Multi-Class Cell Detection Using Modified Self-Attention
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sugimoto, Tatsuhiko Ito, Hiroaki Teramoto, Yuki Yoshizawa, Akihiko Bise, Ryoma Kyushu Univ Fukuoka Japan Kyoto Univ Hosp Kyoto Japan
Multi-class cell detection (cancer or non-cancer) from a whole slide image (WSI) is an important task for pathological diagnosis. Cancer and non-cancer cells often have a similar appearance, so it is difficult even fo... 详细信息
来源: 评论
Medusa: Universal Feature Learning via Attentional Multitasking
Medusa: Universal Feature Learning via Attentional Multitask...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Spencer, Jaime Bowden, Richard Hadfield, Simon Univ Surrey Ctr Vis Speech & Signal Proc CVSSP Guildford Surrey England
Recent approaches to multi-task learning (MTL) have focused on modelling connections between tasks at the decoder level. This leads to a tight coupling between tasks, which need retraining if a new task is inserted or... 详细信息
来源: 评论
Artistic Style Novel View Synthesis Based on A Single Image
Artistic Style Novel View Synthesis Based on A Single Image
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tseng, Kuan-Wei Lee, Yao-Chih Chen, Chu-Song Natl Taiwan Univ Taipei Taiwan Tokyo Inst Technol Tokyo Japan
Recent progress in 3D display technologies has raised the demand for stylized 3D digital content. Previous approaches either perform style transfer on stereoscopic image pairs or reconstruct 3D environment with multip... 详细信息
来源: 评论
Adversarial Robust Model Compression using In-Train Pruning
Adversarial Robust Model Compression using In-Train Pruning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Vemparala, Manoj-Rohit Fasfous, Nael Frickenstein, Alexander Sarkar, Sreetama Zhao, Qi Kuhn, Sabine Frickenstein, Lukas Singh, Anmol Unger, Christian Nagaraja, Naveen-Shankar Wressnegger, Christian Stechele, Walter BMW Autonomous Driving Munich Germany Tech Univ Munich Munich Germany Karlsruhe Inst Technol Karlsruhe Germany
Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model's size and its robustness against attacks. Both need to be... 详细信息
来源: 评论
Manipulation Detection in Satellite Images Using vision Transformer
Manipulation Detection in Satellite Images Using Vision Tran...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Horvath, Janos Baireddy, Sriram Hao, Hanxiang Montserrat, Daniel Mas Delp, Edward J. Purdue Univ Sch Elect & Comp Engn Video & Image Proc Lab VIPER W Lafayette IN 47907 USA
A growing number of commercial satellite companies provide easily accessible satellite imagery. Overhead imagery is used by numerous industries including agriculture, forestry, natural disaster analysis, and meteorolo... 详细信息
来源: 评论
Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism  31
Pay Attention to Virality: understanding popularity of socia...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bielski, Adam Trzcinski, Tomasz Tooploox Wroclaw Poland Warsaw Univ Technol Tooploox Warsaw Poland
Predicting popularity of social media videos before they are published is a challenging task, mainly due to the complexity of content distribution network as well as the number of factors that play part in this proces... 详细信息
来源: 评论
Domain Adaptable Normalization for Semi-Supervised Action recognition in the Dark
Domain Adaptable Normalization for Semi-Supervised Action Re...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liang, Zixi Chen, Jiajun Chen, Rui Zheng, Bingbing Zhou, Mingyue Gao, Huaien Lin, Shan Guangzhou Xi Ma Informat Technol Co Guangzhou Peoples R China
Action recognition in the dark is gaining more and more attention with the rapid development of intelligent recognition applications in real-world applications, e.g. self-driving at night and night surveillance. Howev... 详细信息
来源: 评论