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YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

, , , , , , , and . CoRR, (2020)

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Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device., , , , , , , , , and 1 other author(s). CoRR, (2020)6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration., , , , , , , , , and 6 other author(s). CoRR, (2020)Individualized cognitive neuroscience needs 7T: Comparing numerosity maps at 3T and 7T MRI., , , , and . NeuroImage, (2021)Reversible Column Networks., , , , , , and . ICLR, OpenReview.net, (2023)A Discrepancy Aware Framework for Robust Anomaly Detection., , , , , and . IEEE Trans. Ind. Informatics, 20 (3): 3986-3995 (March 2024)YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design., , , , , , , and . CoRR, (2020)Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search., , , , , , and . CoRR, (2021)Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration., , , , , , , , , and 2 other author(s). CoRR, (2021)Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications., , , , , , , , and . ASP-DAC, page 581-586. ACM, (2021)Eyes Closed Elevates Brain Intrinsic Activity of Sensory Dominance Networks: A Classifier Discrimination Analysis., , , , , , , , , and . Brain Connect., 9 (2): 221-230 (2019)