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Try Everything: Detecting Occluded Faces by Cascading Outrageous Proposal Generation and Deep Convolutional Neural Network.

, , , and . BigMM, page 193-196. IEEE Computer Society, (2017)

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Enhancing heterogeneous similarity estimation via neighborhood reversibility., , , , and . Multimedia Tools Appl., 77 (1): 1437-1452 (2018)Traffic Sign Recognition Based on Attribute-Refinement Cascaded Convolutional Neural Networks., , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 201-210. Springer, (2016)Discriminative Multiview Nonnegative Matrix Factorization for Classification., , , , and . IEEE Access, (2019)Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds., , , , and . CoRR, (2023)Learning Shape-Biased Representations for Infrared Small Target Detection., , , , and . IEEE Trans. Multim., (2024)Structure injected weight normalization for training deep networks., , , , , and . Multim. Syst., 28 (2): 433-444 (2022)Double-Blinded Finder: a two-side secure children face recognition system., , , , , and . Wirel. Networks, 28 (2): 927-936 (2022)Multimodal Composition Example Mining for Composed Query Image Retrieval., , , , , and . IEEE Trans. Image Process., (2024)Coupled-View Deep Classifier Learning from Multiple Noisy Annotators., , , , , , and . AAAI, page 4667-4674. AAAI Press, (2020)Federated Learning with Label-Masking Distillation., , , , , and . ACM Multimedia, page 222-232. ACM, (2023)