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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281-290 订阅
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3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds
3D Room Layout Recovery Generalizing across Manhattan and No...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Jia, Haijing Yi, Hong Fujiki, Hirochika Zhang, Hengzhi Wang, Wei Odamaki, Makoto Ricoh Software Res Ctr Beijing Co Ltd Beijing Peoples R China Ricoh Co Ltd Tokyo Japan
Recent 3D room layout recovery approaches mostly concentrate on Manhattan layouts, where the vertical walls are orthogonal with respect to each other, even though there are many rooms with non-Manhattan layouts in the... 详细信息
来源: 评论
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting Completing M.C Escher's Print Gallery
Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting C...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Cipolina-Kun, Lucia Caenazzo, Simone Mazzei, Gaston ML Collect San Francisco CA 94117 USA Riskcare Ltd London England Univ Paris Saclay CNRS LISN VENISE Team Orsay France
Digital art restoration has benefited from inpainting models to correct the degradation or missing sections of a painting. This work compares three current state-of-the art models for inpainting of large missing regio... 详细信息
来源: 评论
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
Revisiting the Receptive Field of Conv-GRU in DROID-SLAM
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bangunharcana, Antyanta Kim, Soohyun Kim, Kyung-Soo Korea Adv Inst Sci & Technol Daejeon South Korea
This work focuses on improving the Conv-GRU-based optical flow update within a DROID-SLAM framework. Prior optical flow models typically follow a UNet or coarse-to-fine architecture in order to extract long-range cros... 详细信息
来源: 评论
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
Asynchronous Events-based Panoptic Segmentation using Graph ...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Kachole, Sanket Alkendi, Yusra Baghaei Naeini, Fariborz Makris, Dimitrios Zweiri, Yahya Kingston University Department of Computer Science London United Kingdom Abu Dhabi United Arab Emirates Khalifa University of Science and Technology Department of Aerospace Engineering Abu Dhabi United Arab Emirates Ipsotek An Eviden Company London United Kingdom
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion blur, and object size variability... 详细信息
来源: 评论
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All ...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Horwitz, Eliahu Hoshen, Yedid The Hebrew University of Jerusalem School of Computer Science and Engineering Israel
Despite significant advances in image anomaly detection and segmentation, few methods use 3D information. We utilize a recently introduced 3D anomaly detection dataset to evaluate whether or not using 3D information i... 详细信息
来源: 评论
Spatial-Angular Multi-Scale Mechanism for Light Field Spatial Super-Resolution
Spatial-Angular Multi-Scale Mechanism for Light Field Spatia...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Gao, Chen Lin, Youfang Chang, Song Zhang, Shuo School of Computer and Information Technology Beijing Jiaotong University Beijing Key Lab of Traffic Data Analysis and Mining China
Light Field (LF) cameras are promising due to their ability to capture both spatial and angular information of scenes. However, the trade-off between spatial and angular resolution significantly limits the real-world ... 详细信息
来源: 评论
Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment
Enhancing Multi-Camera People Tracking with Anchor-Guided Cl...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Huang, Hsiang-Wei Yang, Cheng-Yen Jiang, Zhongyu Kim, Pyong-Kun Lee, Kyoungoh Kim, Kwangju Ramkumar, Samartha Mullapudi, Chaitanya Jang, In-Su Huang, Chung-I Hwang, Jenq-Neng University of Washington Information Processing Lab United States Electronics and Telecommunications Research Institute Korea Republic of National Center for High-Performance Computing Taiwan
Multi-camera multiple people tracking has become an increasingly important area of research due to the growing demand for accurate and efficient indoor people tracking systems, particularly in settings such as retail,... 详细信息
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DNAS:A Decoupled Global Neural Architecture Search Method
DNAS:A Decoupled Global Neural Architecture Search Method
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Kepeng He, Gang Xidian Univ Xian Peoples R China Kuaishou Technol Beijing Peoples R China
Neural Architecture Search (NAS) can automatically design model architecture with better performance. Current researchers have searched for local architecture similar to block, then stacked to construct entire models,... 详细信息
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Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in computer vision Tasks for Robotic Grasping on the Edge
Fast GraspNeXt: A Fast Self-Attention Neural Network Archite...
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2023 ieee/cvf conference on computer vision and pattern recognition workshops, cvprw 2023
作者: Wong, Alexander Wu, Yifan Abbasi, Saad Nair, Saeejith Chen, Yuhao Shafiee, Mohammad Javad Vision and Image Processing Research Group University of Waterloo Canada Waterloo Artificial Intelligence Institute WaterlooON Canada DarwinAI Corp. WaterlooON Canada
Multi-task learning has shown considerable promise for improving the performance of deep learning-driven vision systems for the purpose of robotic grasping. However, high architectural and computational complexity can... 详细信息
来源: 评论
Cyclical Pruning for Sparse Neural Networks
Cyclical Pruning for Sparse Neural Networks
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Srinivas, Suraj Kuzmin, Andrey Nagel, Markus van Baalen, Mart Skliar, Andrii Blankevoort, Tijmen Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Qualcomm AI Res Amsterdam Netherlands
Current methods for pruning neural network weights iteratively apply magnitude-based pruning on the model weights and re-train the resulting model to recover lost accuracy. In this work, we show that such strategies d... 详细信息
来源: 评论