[3] Learning Deep Features for Discriminative Localization,CVPR16

[4] Weakly Supervised Object Localization with Latent Category Learning, ECCV14

[5] Weakly Supervised Deep Detection Networks, arXiv16

[6] Seed， Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation, arXiv16

[7] https://scikit-learn.org/stable/modules/clustering.html

[8] Focal Loss for Dense Object Detection, arXiv18

[9]https://zhuanlan.zhihu.com/p/76391405

[10] SphereFace: Deep Hypersphere Embedding for Face Recognition,arXiv18

[11] Large-Margin Softmax Loss for Convolutional Neural Networks, arXiv17

[12] CosFace: Large Margin Cosine Loss for Deep Face Recognition, arXiv18

[13] ArcFace: Additive Angular Margin Loss for Deep Face Recognition, arXiv18

[14] Adaptively Weighted Multi-task Deep Network for Person A!ribute
Classification, MM17

[15] Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully
Convolutional Networks, arXiv18

[16] Hard-Aware Deeply Cascaded Embedding, ICCV17

[17] Re-ranking Person Re-identification with k-reciprocal Encoding, CVPR17

[18] 公司内部文档

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