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Enhance Visual Recognition Under Adverse Conditions via Deep Networks., , , , and . IEEE Trans. Image Processing, 28 (9): 4401-4412 (2019)SPGNet: Semantic Prediction Guidance for Scene Parsing., , , , , , , , and . CoRR, (2019)Enhance Visual Recognition under Adverse Conditions via Deep Networks., , , , and . CoRR, (2017)Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation., , , , , and . CoRR, (2019)Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data., , , and . J. Biomed. Informatics, (2022)Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition., , , , , and . CoRR, (2018)High Frequency Residual Learning for Multi-Scale Image Classification., , , , and . CoRR, (2019)Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training., , , , and . AAAI, page 8065-8066. AAAI Press, (2018)Robust emotion recognition from low quality and low bit rate video: A deep learning approach., , , , , , , and . ACII, page 65-70. IEEE Computer Society, (2017)TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection., , , , , , and . CoRR, (2018)