Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects

Posted by dbos Cornell

Kavli Affiliate: Dan Luo | First 5 Authors: Tianyu He, Guanghui Fu, Yijing Yu, Fan Wang, Jianqiang Li | Summary: The complexity of psychological principles underscore a significant societal challenge, given the vast social implications of psychological problems. Bridging the gap between understanding these principles and their actual clinical and real-world applications demands rigorous exploration […]


Continue.. Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects

Manipulating the Label Space for In-Context Classification

Posted by dbos Peking

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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

Posted by dbos UCAS

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 […]


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