Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3227044
Abstract: Weakly supervised video anomaly detection is generally formulated as a multiple instance learning (MIL) problem, where an anomaly detector learns to generate frame-level anomaly scores under the supervision of MIL-based video-level classification. However, most previous… read more here.
Keywords: video anomaly; weakly supervised; supervised video; temporal discriminative ... See more keywords
Self-Supervised Video-Based Action Recognition With Disturbances
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3269228
Abstract: Self-supervised video-based action recognition is a challenging task, which needs to extract the principal information characterizing the action from content-diversified videos over large unlabeled datasets. However, most existing methods choose to exploit the natural spatio-temporal… read more here.
Keywords: action recognition; supervised video; self supervised; action ... See more keywords