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Found 6 papers, 4 papers with code
PREGO: online mistake detection in PRocedural EGOcentric videos
We propose PREGO, the first online one-class classification model for mistake detection in PRocedural EGOcentric videos.
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Leading OCC techniques constrain the latent representations of normal motions to limited volumes and detect as abnormal anything outside, which accounts satisfactorily for the openset'ness of anomalies.
Ranked #1 on
Video Anomaly Detection
on HR-UBnormal
Best Practices for 2-Body Pose Forecasting
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames.
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls.
Ranked #3 on
Video Anomaly Detection
on HR-UBnormal
Are we certain it's anomalous?
By using uncertainty, HypAD may assess whether it is certain about the input signal but it fails to reconstruct it because this is anomalous; or whether the reconstruction error does not necessarily imply anomaly, as the model is uncertain, e. g. a complex but regular input signal.
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately.
