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A novel reinforcement learning reward derived from positive pairs alone boosts keypoint learning stability and performance, even in low-texture environments.
TemporalLens reveals that many video detectors are blind to temporal context, while YOLO-3D demonstrates that preserving temporal depth can dramatically enhance detection performance.
Reliably measuring fish swimming patterns from video unlocks a non-invasive way to monitor their health and detect diseases early.
Achieve accurate crowd counting from a moving train camera by explicitly modeling physically plausible 3D motion, outperforming methods that ignore these constraints.
