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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是4971-4980 订阅
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Residual Dense Network for Image Super-Resolution  31
Residual Dense Network for Image Super-Resolution
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31st ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yulun Tian, Yapeng Kong, Yu Zhong, Bineng Fu, Yun Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA Univ Rochester Dept Comp Sci Rochester NY 14627 USA Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA
A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep CNN based SR models do not make full use... 详细信息
来源: 评论
A Soma Segmentation Benchmark in Full Adult Fly Brain
A Soma Segmentation Benchmark in Full Adult Fly Brain
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Xiaoyu Hu, Bo Li, Mingxing Huang, Wei Zhang, Yueyi Xiong, Zhiwei Univ Sci & Technol China Hefei Anhui Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China
Neuron reconstruction in a full adult fly brain from high-resolution electron microscopy (EM) data is regarded as a cornerstone for neuroscientists to explore how neurons inspire intelligence. As the central part of n... 详细信息
来源: 评论
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of t...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Hongjie Dedhia, Bhishma Jha, Niraj K. Princeton Univ Princeton NJ 08540 USA
Deployment of Transformer models on edge devices is becoming increasingly challenging due to the exponentially growing inference cost that scales quadratically with the number of tokens in the input sequence. Token pr... 详细信息
来源: 评论
EfficientViT: Memory Efficient vision Transformer with Cascaded Group Attention
EfficientViT: Memory Efficient Vision Transformer with Casca...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Liu, Xinyu Peng, Houwen Zheng, Ningxin Yang, Yuqing Hu, Han Yuan, Yixuan Chinese Univ Hong Kong Hong Kong Peoples R China Microsoft Res Redmond WA USA
vision transformers have shown great success due to their high model capabilities. However, their remarkable performance is accompanied by heavy computation costs, which makes them unsuitable for real-time application... 详细信息
来源: 评论
Bridging the Gap Between Learning in Discrete and Continuous Environments for vision-and-Language Navigation
Bridging the Gap Between Learning in Discrete and Continuous...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hong, Yicong Wang, Zun Wu, Qi Gould, Stephen Australian Natl Univ Canberra ACT Australia Univ Adelaide Adelaide SA Australia
Most existing works in vision-and-language navigation (VLN) focus on either discrete or continuous environments, training agents that cannot generalize across the two. Although learning to navigate in continuous space... 详细信息
来源: 评论
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Scaling Up to Excellence: Practicing Model Scaling for Photo...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yu, Fanghua Gu, Jinjin Li, Zheyuan Liu, Jinfan Kong, Xiangtao Wang, Xintao He, Jingwen Qiao, Yu Dong, Chao Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Shanghai AI Lab Shanghai Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China Tencent PCG ARC Lab Hangzhou Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
We introduce SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up. Leveraging multi-modal techniques and advanced generative... 详细信息
来源: 评论
You Do Not Need Additional Priors or Regularizers in Retinex-based Low-light Image Enhancement
You Do Not Need Additional Priors or Regularizers in Retinex...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Fu, Huiyuan Zheng, Wenkai Meng, Xiangyu Wang, Xin Wang, Chuanming Ma, Huadong Beijing Univ Posts & Telecommun Beijing Peoples R China SUNY Stony Brook Stony Brook NY USA
Images captured in low-light conditions often suffer from significant quality degradation. Recent works have built a large variety of deep Retinex-based networks to enhance low-light images. The Retinex-based methods ... 详细信息
来源: 评论
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
DR2: Diffusion-based Robust Degradation Remover for Blind Fa...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Zhixin Zhang, Ziying Zhang, Xiaoyun Zheng, Huangjie Zhou, Mingyuan Zhang, Ya Wang, Yanfeng Shanghai Jiao Tong Univ CMIC Shanghai Peoples R China Univ Texas Austin Austin TX 78712 USA Shanghai AI Lab Shanghai Peoples R China
Blind face restoration usually synthesizes degraded low-quality data with a pre-defined degradation model for training, while more complex cases could happen in the real world. This gap between the assumed and actual ... 详细信息
来源: 评论
Color Shift Estimation-and-Correction for Image Enhancement
Color Shift Estimation-and-Correction for Image Enhancement
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Yiyu Xu, Ke Hancke, Gerhard Petrus Lau, Rynson W. H. City Univ Hong Kong Hong Kong Peoples R China
Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exacerbate color tone distortion in undere... 详细信息
来源: 评论
Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
Learning Accurate 3D Shape Based on Stereo Polarimetric Imag...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Tianyu Li, Haoang He, Kejing Sui, Congying Li, Bin Liu, Yun-Hui Chinese Univ Hong Kong Hong Kong Peoples R China Tech Univ Munich Munich Germany
Shape from Polarization (SfP) aims to recover surface normal using the polarization cues of light. The accuracy of existing SfP methods is affected by two main problems. First, the ambiguity of polarization cues parti... 详细信息
来源: 评论