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07/08/2023
VS-TransGRU: A Novel Transformer-GRU-based Framework Enhanced by Visual-Semantic Fusion for Egocentric Action Anticipation
Egocentric action anticipation is a challenging task that aims to make a...
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05/23/2023
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
Semi-supervised video anomaly detection (VAD) is a critical task in the ...
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03/15/2023
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization
Temporal action localization (TAL) is a prevailing task due to its great...
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12/16/2022
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance
Weakly supervised video anomaly detection (WSVAD) is a challenging task ...
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09/07/2022
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
Video anomaly detection aims to find the events in a video that do not c...
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02/14/2022
Adaptive graph convolutional networks for weakly supervised anomaly detection in videos
For the weakly supervised anomaly detection task, most existing work is ...
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11/15/2021
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Video anomaly detection (VAD) mainly refers to identifying anomalous eve...
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03/20/2021
Efficient Spatialtemporal Context Modeling for Action Recognition
Contextual information plays an important role in action recognition. Lo...
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10/13/2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization
Few-shot learning aims to recognize instances from novel classes with fe...
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02/29/2020
