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Found 3 papers, 1 papers with code
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation
Existing approaches rely on two scales: local information (i. e., the bounding box proportions) or global information, which encodes the semantics of the scene as well as the spatial relations with neighboring objects.
TrackFlow: Multi-Object Tracking with Normalizing Flows
The field of multi-object tracking has recently seen a renewed interest in the good old schema of tracking-by-detection, as its simplicity and strong priors spare it from the complex design and painful babysitting of tracking-by-attention approaches.
Consistency-based Self-supervised Learning for Temporal Anomaly Localization
This work tackles Weakly Supervised Anomaly detection, in which a predictor is allowed to learn not only from normal examples but also from a few labeled anomalies made available during training.
Ranked #11 on
Anomaly Detection In Surveillance Videos
on XD-Violence
Anomaly Detection In Surveillance Videos
Self-Supervised Learning
+3
