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Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection.

, , , , , and . CoRR, (2023)

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TrichANet: An Attentive Network for Trichogramma Classification., , , and . VISIGRAPP (4: VISAPP), page 864-872. SCITEPRESS, (2023)Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection., , , , , and . CoRR, (2023)Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection., , , and . ICONIP (7), volume 1794 of Communications in Computer and Information Science, page 25-37. Springer, (2022)OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection., , , , , and . WACV, page 8559-8568. IEEE, (2024)Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection., , and . ICCCNT, page 1-6. IEEE, (2020)Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images., and . CVIP (2), volume 1568 of Communications in Computer and Information Science, page 171-180. Springer, (2021)Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images., , , , and . Multim. Tools Appl., 79 (21-22): 15381-15396 (2020)Weakly-supervised Joint Anomaly Detection and Classification., , , , and . FG, page 1-7. IEEE, (2021)DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection., , and . AVSS, page 1-8. IEEE, (2021)Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection., , , , , and . Comput. Vis. Image Underst., (2024)