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A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
March 7, 2024, 5:45 a.m. | Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Hao Wang, Farron Wallace, Jenq-Neng Hwang
cs.CV updates on arXiv.org arxiv.org
Abstract: Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community. However, indiscernible object counting, which aims to count the number of targets that are blended with respect to their surroundings, has been a challenge. Image-based object counting datasets have been the mainstream of the current publicly available datasets. Therefore, we propose a large-scale dataset called YoutubeFish-35, which contains a total of 35 sequences of high-definition …
abstract arxiv attention community count cs.cv development however object targets temporal transformer type underwater video vision
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