Manipulating the Label Space for In-Context Classification

Kavli Affiliate: Jing Wang | First 5 Authors: Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang | Summary: After pre-training by generating the next word conditional on previous words, the Language Model (LM) acquires the ability of In-Context Learning (ICL) that can learn a new task conditional on the context of the given […]


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OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Chenming Zhang, Juntao Lu, Yiqun Duan, Yiqi Wang | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is important to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive methods in […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Chenming Zhang, Juntao Lu, Yiqun Duan, Yiqi Wang | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is important to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive methods in […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Chenming Zhang, Juntao Lu, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is important to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive methods in […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang | Summary: Polyp segmentation plays a vital role in accurately locating polyps at an early stage, which holds significant clinical importance for the prevention of colorectal cancer. Various polyp segmentation methods have been developed using fully-supervised deep […]


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Optimal switching strategies for navigation in stochastic settings

Kavli Affiliate: L. Mahadevan | First 5 Authors: F. Mori, L. Mahadevan, , , | Summary: Inspired by the intermittent reorientation strategy seen in the behavior of the dung beetle, we consider the problem of the navigation strategy of an active Brownian particle moving in two dimensions. We assume that the heading of the particle […]


Continue.. Optimal switching strategies for navigation in stochastic settings