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检索条件"任意字段=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022"
3917 条 记 录,以下是3591-3600 订阅
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ALINA: Advanced Line Identification and Notation Algorithm
ALINA: Advanced Line Identification and Notation Algorithm
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Mohammed Abdul Hafeez Khan Parth Ganeriwala Siddhartha Bhattacharyya Natasha Neogi Raja Muthalagu Florida Institute of Technology Melbourne Florida NASA Langley Research Center Hampton Virginia BITS Pilani Dubai Campus Dubai UAE
Labels are the cornerstone of supervised machine learning algorithms. Most visual recognition methods are fully supervised, using bounding boxes or pixel-wise segmentations for object localization. Traditional labelin... 详细信息
来源: 评论
A Guided Multi-Scale Categorization of Plant Species in Natural Images
A Guided Multi-Scale Categorization of Plant Species in Natu...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jonas Krause Kyungim Baek Lipyeow Lim Dept. of Information and Computer Sciences University of Hawai'i at Manoa Honolulu HI
Automatic categorization of plant species in natural images is an important computer vision problem with numerous applications in agriculture and botany. The problem is particularly challenging due to the large number... 详细信息
来源: 评论
Classifier Guided Cluster Density Reduction for Dataset Selection
Classifier Guided Cluster Density Reduction for Dataset Sele...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Cheng Chang Keyu Long Zijian Li Himanshu Rai Layer 6 AI
In this paper, we address the challenge of selecting an optimal dataset from a source pool with annotations to enhance performance on a target dataset derived from a different source. This is important in scenarios wh... 详细信息
来源: 评论
Adapting the Segment Anything Model During Usage in Novel Situations
Adapting the Segment Anything Model During Usage in Novel Si...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Robin Schön Julian Lorenz Katja Ludwig Rainer Lienhart Universität Augsburg Augsburg
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct segmentation consists in clicks on t... 详细信息
来源: 评论
What does CLIP know about peeling a banana?
What does CLIP know about peeling a banana?
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Claudia Cuttano Gabriele Rosi Gabriele Trivigno Giuseppe Averta Politecnico di Torino Focoos AI
Humans show an innate capability to identify tools to support specific actions. The association between objects parts and the actions they facilitate is usually named affordance. Being able to segment objects parts de... 详细信息
来源: 评论
DOAD: Decoupled One Stage Action Detection Network
DOAD: Decoupled One Stage Action Detection Network
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Shuning Chang Pichao Wang Fan Wang Jiashi Feng Mike Zheng Shou Showlab National University of Singapore Alibaba Group National University of Singapore
Localizing people and recognizing their actions from videos is a challenging task towards high-level video understanding. Existing methods are mostly two-stage based, with one stage for person bounding box generation ... 详细信息
来源: 评论
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
NTIRE 2022 Challenge on Super-Resolution and Quality Enhance...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Ren Yang Radu Timofte Meisong Zheng Qunliang Xing Minglang Qiao Mai Xu Lai Jiang Huaida Liu Ying Chen Youcheng Ben Xiao Zhou Chen Fu Pei Cheng Gang Yu Junyi Li Renlong Wu Zhilu Zhang Wei Shang Zhengyao Lv Yunjin Chen Mingcai Zhou Dongwei Ren Kai Zhang Wangmeng Zuo Pavel Ostyakov Vyal Dmitry Shakarim Soltanayev Chervontsev Sergey Zhussip Magauiya Xueyi Zou Youliang Yan Pablo Navarrete Michelini Yunhua Lu Diankai Zhang Shaoli Liu Si Gao Biao Wu Chengjian Zheng Xiaofeng Zhang Kaidi Lu Ning Wang Thuong Nguyen Canh Thong Bach Qing Wang Xiaopeng Sun Haoyu Ma Shijie Zhao Junlin Li Liangbin Xie Shuwei Shi Yujiu Yang Xintao Wang Jinjin Gu Chao Dong Xiaodi Shi Chunmei Nian Dong Jiang Jucai Lin Zhihuai Xie Mao Ye Dengyan Luo Liuhan Peng Shengjie Chen Xin Liu Qian Wang Boyang Liang Hang Dong Yuhao Huang Kai Chen Xingbei Guo Yujing Sun Huilei Wu Pengxu Wei Yulin Huang Junying Chen Ik Hyun Lee Sunder Ali Khowaja Jiseok Yoon ETH Z&#x00FC rich rich University of W&#x00FC rzburg
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 addit... 详细信息
来源: 评论
The devil is in discretization discrepancy. Robustifying Differentiable NAS with Single-Stage Searching Protocol
The devil is in discretization discrepancy. Robustifying Dif...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Konstanty Subbotko Wojciech Jablonski Piotr Bilinski University of Warsaw
Neural Architecture Search (NAS) has been widely adopted to design neural networks for various computer vision tasks. One of its most promising subdomains is differentiable NAS (DNAS), where the optimal architecture i... 详细信息
来源: 评论
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation
Using Mixture of Expert Models to Gain Insights into Semanti...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Svetlana Pavlitskaya Christian Hubschneider Michael Weber Ruby Moritz Fabian Hüger Peter Schlicht J. Marius Zöllner FZI Research Center for Information Technology Volkswagen Group Automation
Not only correct scene understanding, but also ability to understand the decision making process of neural networks is essential for safe autonomous driving. Current work mainly focuses on uncertainty measures, often ... 详细信息
来源: 评论
ViTKD: Feature-based Knowledge Distillation for vision Transformers
ViTKD: Feature-based Knowledge Distillation for Vision Trans...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Zhendong Yang Zhe Li Ailing Zeng Zexian Li Chun Yuan Yu Li Tsinghua Shenzhen International Graduate School International Digital Economy Academy (IDEA) Institute of Automation Chinese Academy of Sciences Beihang University
Knowledge Distillation (KD) has been extensively studied as a means to enhance the performance of smaller models in Convolutional Neural Networks (CNNs). Recently, the vision Transformer (ViT) has demonstrated remarka... 详细信息
来源: 评论