A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Videos
Author:
Affiliation:
1. University of Washington,Department of Electrical & Computer Engineering,USA
2. National Oceanic and Atmospheric Administration (NOAA),USA
Funder
Southeast Fisheries Science Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447513.pdf?arnumber=10447513
Reference19 articles.
1. Simultaneously Localize, Segment and Rank the Camouflaged Objects
2. Concealed Object Detection
3. Indiscernible Object Counting in Underwater Scenes
4. Privacy preserving crowd monitoring: Counting people without people models or tracking
5. Feature Mining for Localised Crowd Counting
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1. Adaptive density guided network with CNN and Transformer for underwater fish counting;Journal of King Saud University - Computer and Information Sciences;2024-07
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