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Compositional Convolutional Networks For Robust Object Classification under Occlusion., , , , и . CoRR, (2019)Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures., , , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 461-469. Springer, (2019)STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction., , , , , и . CVPR, стр. 11343-11352. Computer Vision Foundation / IEEE, (2020)Lesion Detection by Efficiently Bridging 3D Context., , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 470-478. Springer, (2019)Mitigating Adversarial Effects Through Randomization., , , , и . ICLR (Poster), OpenReview.net, (2018)De-Diffusion Makes Text a Strong Cross-Modal Interface., , , , , и . CVPR, стр. 13492-13503. IEEE, (2024)Improving Transferability of Adversarial Examples With Input Diversity., , , , , , и . CVPR, стр. 2730-2739. Computer Vision Foundation / IEEE, (2019)Single-Shot Object Detection With Enriched Semantics., , , , , и . CVPR, стр. 5813-5821. Computer Vision Foundation / IEEE Computer Society, (2018)Learning Transferable Adversarial Examples via Ghost Networks., , , , , и . AAAI, стр. 11458-11465. AAAI Press, (2020)Localizing Occluders with Compositional Convolutional Networks., , , , и . ICCV Workshops, стр. 2029-2032. IEEE, (2019)