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MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies

Autor: Yi, Jinhui, Luo, Yanan, Deichmann, Marion, Schaaf, Gabriel, Gall, Juergen

An early, non-invasive, and on-site detection of nutrient deficiencies is critical to enable timely actions to prevent major losses of crops caused by lack of nutrients. While acquiring labeled data is very expensive, collecting images from multiple

Externí odkaz: http://arxiv.org/abs/2409.00903

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Rethinking temporal self-similarity for repetitive action counting

Autor: Luo, Yanan, Yi, Jinhui, Farha, Yazan Abu, Wolter, Moritz, Gall, Juergen

Counting repetitive actions in long untrimmed videos is a challenging task that has many applications such as rehabilitation. State-of-the-art methods predict action counts by first generating a temporal self-similarity matrix (TSM) from the sampled

Externí odkaz: http://arxiv.org/abs/2407.09431

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Scene Consistency Representation Learning for Video Scene Segmentation

Autor: Wu, Haoqian, Chen, Keyu, Luo, Yanan, Qiao, Ruizhi, Ren, Bo, Liu, Haozhe, Xie, Weicheng, Shen, Linlin

Publikováno v: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2022

A long-term video, such as a movie or TV show, is composed of various scenes, each of which represents a series of shots sharing the same semantic story. Spotting the correct scene boundary from the long-term video is a challenging task, since a mode

Externí odkaz: http://arxiv.org/abs/2205.05487

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