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Found 3 papers, 3 papers with code
Exploit the potential of Multi-column architecture for Crowd Counting
To the best of our knowledge, PSNet is the first work to explicitly address scale limitation and feature similarity in multi-column design.
RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation
We address the challenging problem of RGB image-based head pose estimation.
Deep Density-aware Count Regressor
We seek to improve crowd counting as we perceive limits of currently prevalent density map estimation approach on both prediction accuracy and time efficiency.
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