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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

, , , and . ICCV, page 1026-1034. IEEE Computer Society, (2015)

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Deep Residual Learning for Image Recognition, , , and . (2015)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 . (2015)cite arxiv:1504.06066Comment: To appear in TPAMI; substantial re-writing over the original post at arXiv of April 2015. COCO competition results included.Identity Mappings in Deep Residual Networks., , , and . ECCV (4), volume 9908 of Lecture Notes in Computer Science, page 630-645. Springer, (2016)Global refinement of random forest., , , and . CVPR, page 723-730. IEEE Computer Society, (2015)Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (9): 1904-1916 (2015)Joint Cascade Face Detection and Alignment., , , , and . ECCV (6), volume 8694 of Lecture Notes in Computer Science, page 109-122. Springer, (2014)Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition., , , and . ECCV (3), volume 8691 of Lecture Notes in Computer Science, page 346-361. Springer, (2014)Face Alignment at 3000 FPS via Regressing Local Binary Features., , , and . CVPR, page 1685-1692. IEEE Computer Society, (2014)Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification., , , and . ICCV, page 1026-1034. IEEE Computer Society, (2015)