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Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning.

, , , and . Neurocomputing, (2022)

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Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images., , , , , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 112-119. Springer, (2019)Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection., , , , , and . WACV, page 644-653. IEEE, (2024)Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation., , , , , , and . CoRR, (2023)RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection., , , , and . CoRR, (2019)MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios., , , , , , and . CoRR, (2023)ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network., , , , , and . IJCAI, page 2944-2951. ijcai.org, (2019)Context-aware Attention Network for Predicting Image Aesthetic Subjectivity., , , , and . ACM Multimedia, page 798-806. ACM, (2020)Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection., and . CoRR, (2021)Diverse part attentive network for video-based person re-identification., , , , , , , , and . Pattern Recognit. Lett., (2021)Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection., , , , , and . CVPR, page 1237-1246. Computer Vision Foundation / IEEE, (2019)