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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (6): 1137-1149 (2017)Object Detection Networks on Convolutional Feature Maps., , , , and . CoRR, (2015)Identity Mappings in Deep Residual Networks, , , and . (2016)cite arxiv:1603.05027Comment: ECCV 2016 camera-ready.Deep Residual Learning for Image Recognition, , , and . (2015)Face Alignment via Regressing Local Binary Features., , , and . IEEE Trans. Image Processing, 25 (3): 1233-1245 (2016)Object Detection Networks on Convolutional Feature Maps., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (7): 1476-1481 (2017)Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, , , and . Proceedings of the IEEE international conference on computer vision, page 1026--1034. (2015)Face Alignment at 3000 FPS via Regressing Local Binary Features., , , and . CVPR, page 1685-1692. IEEE Computer Society, (2014)Global refinement of random forest., , , and . CVPR, page 723-730. IEEE Computer Society, (2015)Joint Cascade Face Detection and Alignment., , , , and . ECCV (6), volume 8694 of Lecture Notes in Computer Science, page 109-122. Springer, (2014)