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Found 3 papers, 1 papers with code
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attention
Our approach takes into account snippet-level encoded features without the supervision of pseudo labels.
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching.
GTM: Gray Temporal Model for Video Recognition
Meanwhile, we proposed a 1D Identity Channel-wise Spatio-temporal Convolution(1D-ICSC) which captures the temporal relationship at channel-feature level within a controllable computation budget(by parameters G & R).
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