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A unified three-branch deep learning framework for automated detection and counting of wildlife in aerial imagery
Automating aerial wildlife surveys requires reliable animal detection, consistent delineation of observation strips, and correction for repeated coverage between successive images. We present a unified three-branch deep learning framework that integrates these tasks through WildSeg, WildMatch and Wi
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