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cs.CV2026
Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery
Dan Zimmerman, Dimitris A. Pados, George Sklivanitis
Automated classification of marine species from underwater imagery is essential for scalable ocean biodiversity monitoring and conservation policy. Existing approaches struggle wit…
cs.CV2026
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
Mahmoud Tahmasebi, Saif Huq, Kevin Meehan +1
Stereo matching has become an increasingly important component of modern autonomous systems. Developing deep learning-based stereo matching models that deliver high accuracy while…
cs.CV2026
Byte-level generative predictions for forensics multimedia carving
Jaewon Lee, Md Eimran Hossain Eimon, Avinash Srinivasan +1
Digital forensic investigations often face significant challenges when recovering fragmented multimedia files that lack file system metadata. While traditional file carving relies…