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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4771-4780 订阅
排序:
Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis
Semantic-shape Adaptive Feature Modulation for Semantic Imag...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lv, Zhengyao Li, Xiaoming Niu, Zhenxing Cao, Bing Zuo, Wangmeng Tomorrow Adv Life Beijing Peoples R China Harbin Inst Technol Harbin Peoples R China Alibaba Grp Machine Intelligence Lab Hangzhou Peoples R China Tianjin Univ Tianjin Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Recent years have witnessed substantial progress in semantic image synthesis, it is still challenging in synthesizing photo-realistic images with rich details. Most previous methods focus on exploiting the given seman... 详细信息
来源: 评论
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
BatchFormer: Learning to Explore Sample Relationships for Ro...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hou, Zhi Yu, Baosheng Tao, Dacheng Univ Sydney Fac Engn Sch Comp Sci Sydney NSW Australia JD Explore Acad Beijing Peoples R China
Despite the success of deep neural networks, there are still many challenges in deep representation learning due to the data scarcity issues such as data imbalance, unseen distribution, and domain shift. To address th... 详细信息
来源: 评论
SyncMask: Synchronized Attentional Masking for Fashion-centric vision-Language Pretraining
SyncMask: Synchronized Attentional Masking for Fashion-centr...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Song, Chull Hwan Hwang, Taebaek Yoon, Jooyoung Choi, Shunghyun Gu, Yeong Hyeon Dealicious Inc Seoul South Korea Sejong Univ Seoul South Korea
vision-language models (VLMs) have made significant strides in cross-modal understanding through large-scale paired datasets. However, in fashion domain, datasets of-en exhibit a disparity between the information conv... 详细信息
来源: 评论
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way
Segment, Magnify and Reiterate: Detecting Camouflaged Object...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Jia, Qi Yao, Shuilian Liu, Yu Fan, Xin Liu, Risheng Luo, Zhongxuan Dalian Univ Technol Int Sch Informat Sci & Engn Dalian Peoples R China
It is challenging to accurately detect camouflaged objects from their highly similar surroundings. Existing methods mainly leverage a single-stage detection fashion, while neglecting small objects with low-resolution ... 详细信息
来源: 评论
User-Guided Variable Rate Learned Image Compression
User-Guided Variable Rate Learned Image Compression
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gupta, Rushil Suryateja, B., V Kapoor, Nikhil Jaiswal, Rajat Nangi, Sharmila Kulkarni, Kuldeep Adobe Res Bengaluru India Indian Inst Technol Delhi Delhi India Stanford Univ Stanford CA 94305 USA
We propose a learning-based image compression method that achieves any arbitrary input bitrate via user-guided bit allocation to preferred regions. We verify our hypothesis of incorporating user guidance for bitrate c... 详细信息
来源: 评论
Feature Transfer Learning for Face recognition with Under-Represented Data  32
Feature Transfer Learning for Face Recognition with Under-Re...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yin, Xi Yu, Xiang Sohn, Kihyuk Liu, Xiaoming Chandraker, Manmohan Michigan State Univ E Lansing MI 48824 USA NEC Labs Amer Princeton NJ 08540 USA Univ Calif San Diego San Diego CA 92103 USA
Despite the large volume of face recognition datasets, there is a significant portion of subjects, of which the samples are insufficient and thus under-represented. Ignoring such significant portion results in insuffi... 详细信息
来源: 评论
DETRs with Hybrid Matching
DETRs with Hybrid Matching
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Jia, Ding Yuan, Yuhui He, Haodi Wu, Xiaopei Yu, Haojun Lin, Weihong Sun, Lei Zhang, Chao Hu, Han Peking Univ Beijing Peoples R China Stanford Univ Stanford CA USA Zhejiang Univ Hangzhou Peoples R China Microsoft Res Asia Beijing Peoples R China
One-to-one set matching is a key design for DETR to establish its end-to-end capability, so that object detection does not require a hand-crafted NMS (non-maximum suppression) to remove duplicate detections. This end-... 详细信息
来源: 评论
Event-based Synthetic Aperture Imaging with a Hybrid Network
Event-based Synthetic Aperture Imaging with a Hybrid Network
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Xiang Liao, Wei Yu, Lei Yang, Wen Xia, Gui-Song Wuhan Univ Wuhan Peoples R China
Synthetic aperture imaging (SAI) is able to achieve the see through effect by blurring out the off-focus foreground occlusions and reconstructing the in-focus occluded targets from multi-view images. However, very den... 详细信息
来源: 评论
Unified Language-driven Zero-shot Domain Adaptation
Unified Language-driven Zero-shot Domain Adaptation
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yang, Senqiao Tian, Zhuotao Jiang, Li Jia, Jiaya Chinese Univ Hong Kong Hong Kong Peoples R China Harbin Inst Technol Shenzhen Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China
This paper introduces Unified Language-driven Zero-shot Domain Adaptation ( ULDA), a novel task setting that enables a single model to adapt to diverse target domains without explicit domain-ID knowledge. We identify ... 详细信息
来源: 评论
Deep Rectangling for Image Stitching: A Learning Baseline
Deep Rectangling for Image Stitching: A Learning Baseline
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Nie, Lang Lin, Chunyu Liao, Kang Liu, Shuaicheng Zhao, Yao Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Beijing Key Lab Adv Informat Sci & Network Beijing Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China
Stitched images provide a wide field-of-view (FoV) but suffer from unpleasant irregular boundaries. To deal with this problem, existing image rectangling methods devote to searching an initial mesh and optimizing a ta... 详细信息
来源: 评论