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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19489 条 记 录,以下是4761-4770 订阅
排序:
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
DN-DETR: Accelerate DETR Training by Introducing Query DeNoi...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Li, Feng Zhang, Hao Liu, Shilong Guo, Jian Ni, Lionel M. Zhang, Lei Hong Kong Univ Sci & Technol Hong Kong Peoples R China Int Digital Econ Acad IDEA Shenzhen Peoples R China Tsinghua Univ Beijing Peoples R China Hong Kong Univ Sci & Technol Guangzhou Peoples R China IDEA Shenzhen Peoples R China
We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods. We show that the slow ... 详细信息
来源: 评论
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM  30
Instance-aware Image and Sentence Matching with Selective Mu...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Huang, Yan Wang, Wei Wang, Liang Natl Lab Pattern Recognit Ctr Res Intelligent Percept & Comp CRIPAC Beijing Peoples R China Chinese Acad Sci CASIA Ctr Excellence Brain Sci & Intelligence Tech Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Effective image and sentence matching depends on how to well measure their global visual-semantic similarity. Based on the observation that such a global similarity arises from a complex aggregation of multiple local ... 详细信息
来源: 评论
Deep Embedding Learning with Discriminative Sampling Policy  32
Deep Embedding Learning with Discriminative Sampling Policy
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Duan, Yueqi Chen, Lei Lu, Jiwen Zhou, Jie Tsinghua Univ Dept Automat Beijing Peoples R China State Key Lab Intelligent Technol & Syst Beijing Peoples R China Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China
Deep embedding learning aims to learn a distance metric for effective similarity measurement, which has achieved promising performance in various tasks. As the vast majority of training samples produce gradients with ... 详细信息
来源: 评论
iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance
iCoseg: Interactive Co-segmentation with Intelligent Scribbl...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Batra, Dhruv Kowdle, Adarsh Parikh, Devi Luo, Jiebo Chen, Tsuhan Carnegie Mellon Univ Pittsburgh PA 15213 USA Cornell Univ Ithaca NY 14853 USA TTIC Chicago IL USA Eastman Kodak Co Rochester NY 14650 USA
This paper presents an algorithm for Interactive Co-segmentation of a foreground object from a group of related images. While previous approaches focus on unsupervised co-segmentation, we use successful ideas from the... 详细信息
来源: 评论
Area Under the ROC Curve Maximization for Metric Learning
Area Under the ROC Curve Maximization for Metric Learning
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gajic, Bojana Amato, Ariel Baldrich, Ramon van de Weijer, Joost Gatta, Carlo Vintra Inc Barcelona Spain Comp Vis Ctr Barcelona Spain
Most popular metric learning losses have no direct relation with the evaluation metrics that are subsequently applied to evaluate their performance. We hypothesize that training a metric learning model by maximizing t... 详细信息
来源: 评论
Shunted Self-Attention via Multi-Scale Token Aggregation
Shunted Self-Attention via Multi-Scale Token Aggregation
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ren, Sucheng Zhou, Daquan He, Shengfeng Feng, Jiashi Wang, Xinchao Natl Univ Singapore Singapore Singapore South China Univ Technol Guangzhou Peoples R China Bytelsance Inc Beijing Peoples R China
Recent vision Transformer (ViT) models have demonstrated encouraging results across various computer vision tasks, thanks to its competence in modeling long-range dependencies of image patches or tokens via self-atten... 详细信息
来源: 评论
IP102: A Large-Scale Benchmark Dataset for Insect Pest recognition  32
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recog...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wu, Xiaoping Zhan, Chi Lai, Yu-Kun Cheng, Ming-Ming Yang, Jufeng Nankai Univ Coll Comp Sci Tianjin Peoples R China Cardiff Univ Sch Comp Sci & Informat Cardiff Wales
Insect pests are one of the main factors affecting agricultural product yield. Accurate recognition of insect pests facilitates timely preventive measures to avoid economic losses. However, the existing datasets for t... 详细信息
来源: 评论
Fine-grained Image-to-Image Transformation towards Visual recognition
Fine-grained Image-to-Image Transformation towards Visual Re...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xiong, Wei He, Yutong Zhang, Yixuan Luo, Wenhan Ma, Lin Luo, Jiebo Univ Rochester Rochester NY 14627 USA Tencent AI Lab Bellevue WA USA
Existing image-to-image transformation approaches primarily focus on synthesizing visually pleasing data. Generating images with correct identity labels is challenging yet much less explored. It is even more challengi... 详细信息
来源: 评论
Adaptive Class Suppression Loss for Long-Tail Object Detection
Adaptive Class Suppression Loss for Long-Tail Object Detecti...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Tong Zhu, Yousong Zhao, Chaoyang Zeng, Wei Wang, Jinqiao Tang, Ming Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China ObjectEye Inc Beijing Peoples R China Peking Univ Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China NEXWISE Co Ltd Guangzhou Peoples R China
To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat each group with different strategies.... 详细信息
来源: 评论
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
Pixels, Regions, and Objects: Multiple Enhancement for Salie...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Yi Wang, Ruili Fan, Xin Wang, Tianzhu He, Xiangjian Dalian Univ Technol DUT RU Int Sch Informat Sci & Engn Dalian Peoples R China Massey Univ Sch Math & Computat Sci Palmerston North New Zealand Univ Nottingham Ningbo China Sch Comp Sci Ningbo Peoples R China
Salient object detection (SOD) aims to mimic the human visual system (HVS) and cognition mechanisms to identify and segment salient objects. However, due to the complexity of these mechanisms, current methods are not ... 详细信息
来源: 评论