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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4488 条 记 录,以下是71-80 订阅
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Block Selective Reprogramming for On-device Training of vision Transformers
Block Selective Reprogramming for On-device Training of Visi...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sarkar, Sreetama Kundu, Souvik Zheng, Kai Beerel, Peter A. Univ Southern Calif Los Angeles CA 90007 USA Intel Labs San Diego CA USA
The ubiquity of vision transformers (ViTs) for various edge applications, including personalized learning, has created the demand for on-device fine-tuning. However, training with the limited memory and computation po... 详细信息
来源: 评论
DVMSR: Distillated vision Mamba for Efficient Super-Resolution
DVMSR: Distillated Vision Mamba for Efficient Super-Resoluti...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lei, Xiaoyan Zhang, Wenlong Cao, Weifeng Zhengzhou Univ Light Ind Zhengzhou Peoples R China HongKong Polytech Univ Hong Kong Peoples R China
Efficient Image Super-Resolution (SR) aims to accelerate SR network inference by minimizing computational complexity and network parameters while preserving performance. Existing state-of-the-art Efficient Image Super... 详细信息
来源: 评论
Scaling Graph Convolutions for Mobile vision
Scaling Graph Convolutions for Mobile Vision
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Avery, William Munir, Mustafa Marculescu, Radu Univ Texas Austin Austin TX 78712 USA
To compete with existing mobile architectures, MobileViG introduces Sparse vision Graph Attention (SVGA), a fast token-mixing operator based on the principles of GNNs. However, MobileViG scales poorly with model size,... 详细信息
来源: 评论
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
Hierarchical NeuroSymbolic Approach for Comprehensive and Ex...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Okamoto, Lauren Parmar, Paritosh Princeton Univ Princeton NJ 08544 USA ASTAR IHPC Singapore Singapore
Action quality assessment (AQA) applies computer vision to quantitatively assess the performance or execution of a human action. Current AQA approaches are end-to-end neural models, which lack transparency and tend to... 详细信息
来源: 评论
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kim, Taehoon Ahn, Pyunghwan Kim, Sangyun Lee, Sihaeng Marsden, Mark Sala, Alessandra Kim, Seung Hwan Han, Bohyung Lee, Kyoung Mu Lee, Honglak Bae, Kyounghoon Wu, Xiangyu Gao, Yi Zhang, Hailiang Yang, Yang Guo, Weili Lu, Jianfeng Oh, Youngtaek Cho, Jae Won Kim, Dong-Jin Kweon, In So Kim, Junmo Kang, Wooyoung Jhoo, Won Young Roh, Byungseok Mun, Jonghwan Oh, Solgil Ak, Kenan Emir Lee, Gwang-Gook Xu, Yan Shen, Mingwei Hwang, Kyomin Shin, Wonsik Lee, Kamin Park, Wonhark Lee, Dongkwan Kwak, Nojun Wang, Yujin Wang, Yimu Gu, Tiancheng Lv, Xingchang Sun, Mingmao
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project1 and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision comm... 详细信息
来源: 评论
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions
Pseudo-label based unsupervised fine-tuning of a monocular 3...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Suzuki, Tomohiro Tanaka, Ryota Takeda, Kazuya Fujii, Keisuke Nagoya Univ Nagoya Aichi Japan
Accurate motion capture is useful for sports motion analysis, but requires higher acquisition costs. Monocular or few camera multi-view pose estimation provides an accessible but less accurate alternative, especially ... 详细信息
来源: 评论
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Metho...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Longguang Guo, Yulan Li, Juncheng Liu, Hongda Zhao, Yang Wang, Yingqian Jin, Zhi Gu, Shuhang Timofte, Radu Aviation University of Air Force Sun Yat-sen University The Shenzhen Campus of Sun Yat-sen University China National University of Defense Technology China Shanghai University China University of Electronic Science and Technology of China China Computer Vision Lab University of Würzburg Germany
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a hig... 详细信息
来源: 评论
InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation
InVERGe: Intelligent Visual Encoder for Bridging Modalities ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Deria, Ankan Kumar, Komal Chakraborty, Snehashis Mahapatra, Dwarikanath Roy, Sudipta Jio Inst Artificial Intelligence & Data Sci Navi Mumbai 410206 India Incept Inst Artificial Intelligence Abu Dhabi U Arab Emirates
Medical image captioning plays an important role in modern healthcare, improving clinical report generation and aiding radiologists in detecting abnormalities and reducing misdiagnosis. The complex visual and textual ... 详细信息
来源: 评论
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
Sat2Cap: Mapping Fine-Grained Textual Descriptions from Sate...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dhakal, Aayush Ahmad, Adeel Khanal, Subash Sastry, Srikumar Kerner, Hannah Jacobs, Nathan Washington Univ St Louis MO 63110 USA Taylor Geospatial Inst St Louis MO USA Arizona State Univ Tempe AZ 85287 USA
We propose a weakly supervised approach for creating maps using free-form textual descriptions. We refer to this work of creating textual maps as zero-shot mapping. Prior works have approached mapping tasks by develop... 详细信息
来源: 评论
How to Benchmark vision Foundation Models for Semantic Segmentation?
How to Benchmark Vision Foundation Models for Semantic Segme...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kerssies, Tommie de Geus, Daan Dubbelman, Gijs Eindhoven Univ Technol Eindhoven Netherlands
Recent vision foundation models (VFMs) have demonstrated proficiency in various tasks but require supervised fine-tuning to perform the task of semantic segmentation effectively. Benchmarking their performance is esse... 详细信息
来源: 评论