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Computer Vision and Deep Learning with Applications to Object Detection, Segmentation, and Document Analysis.. University of Maryland, College Park, MD, USA, (2017)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/20758).AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts., , , , , , , and . ICCV, page 17300-17311. IEEE, (2023)From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions., , , , , , , , , and 1 other author(s). CoRR, (2023)A graphical model approach for matching partial signatures., , and . CVPR, page 1465-1472. IEEE Computer Society, (2015)Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection., , , and . CoRR, (2016)Efficient Scale-Permuted Backbone with Learned Resource Distribution., , , , , , and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 572-586. Springer, (2020)Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts., , , , , , , , , and . CoRR, (2023)Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25760-25782. PMLR, (2022)Fused Deep Neural Networks for Efficient Pedestrian Detection., , , , and . CoRR, (2018)AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks., , and . CoRR, (2019)