論文閱讀（10）：Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese
騰訊AI實驗室和清華大學共同發表的ICCV2019文章，針對有遮擋的人臉圖像提出的人臉識別方法，在訓練階段通過網絡學習出不同位置下的掩模字典，與人臉圖像對應的特徵張量進行點乘操作，把遮擋部分去掉。用剩下的未遮擋特徵進行識別。 一、背景 問題： 現有的CNN人臉識別模型對有遮擋的人臉數據表現效果差 現實生活的人臉圖像/視頻中，遮擋隨處可見，比如太陽鏡、圍巾、口罩等物品可能會將人臉的重要信息給
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相關文章
- 1. 論文閱讀（10）：Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese
- 2. Occlusion Robust Face Recognition Based on Mask Learning with Pairwise Differential Siamese Network
- 3. 文獻閱讀 - Deep Face Recognition
- 4. Towards a Diffraction-based Sensing Approach on Human Activity Recognition論文閱讀筆記
- 5. 論文閱讀理解 - DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
- 6. 論文閱讀：CVPR2016 Paper list
- 7. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition文章解讀
- 8. 論文閱讀筆記-《GhostVLAD for set-based face recognition》
- 9. Feature Transfer Learning for Deep Face Recognition with Long-Tail Data 論文閱讀筆記
- 10. 論文閱讀（11）：RegularFace: Deep Face Recognition via ExclusiveRegularization