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Squeeze-and-Attention Networks for Semantic Segmentation., , , , , , and . CoRR, (2019)EdgeSegNet: A Compact Network for Semantic Segmentation., , and . CoRR, (2019)State of Compact Architecture Search For Deep Neural Networks., , , , and . CoRR, (2019)Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity., , , , , , , and . CoRR, (2020)Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms., , , , , and . CoRR, (2019)Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks., and . CoRR, (2019)AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design., , and . CVPR Workshops, page 684-693. Computer Vision Foundation / IEEE, (2019)PuckNet: Estimating hockey puck location from broadcast video., , , , , and . CoRR, (2019)Squeeze-and-Attention Networks for Semantic Segmentation., , , , , , , , and . CVPR, page 13062-13071. Computer Vision Foundation / IEEE, (2020)