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In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

机译：为了再次防御三联损失：学习强大的人重新识别快速近似的三联损失和标签蒸馏

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Ye Yuan; Wuyang Chen; Yang Yang; Zhangyang Wang;
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1. Bi-Directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification [J] . Hanrong Ye, Hong Liu, Fanyang Meng, IEEE Transactions on Image Processing . 2021,第1期

机译：RGB红外人重新识别双向指数角度三重损耗
2. Dual-modality hard mining triplet-center loss for visible infrared person re-identification [J] . Cai X., Liu L., Zhu L., Knowledge-Based Systems . 2021,第Mara5期

机译：可见红外人重新识别的双级硬矿业三重态 - 中心损耗
3. Triplet online instance matching loss for person re-identification [J] . Li Ye, Yin Guangqiang, Liu Chunhui, Neurocomputing . 2021,第Apra14期

机译：Triplet在线实例匹配人员重新识别
4. In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation [C] . Ye Yuan, Wuyang Chen, Yang Yang, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops . 2020

机译：再次捍卫三重态损失：通过快速近似的三重态损失和标签蒸馏，学习鲁棒的人员重新识别
5. Person Re-Identification and an Adversarial Attack and Defense for Person Re-Identification Networks [D] . Zheng, Yu. 2021

机译：人员重新识别和对侵犯人员重新识别网络的侵犯攻击和辩护
6. Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data [O] . Sejin Park, Jihee Soh, Hyunju Lee 2021

机译：Super.Felt：使用多常规数据使用三联损耗进行调节特征提取学习
7. Parameter Sharing Exploration and Hetero-center Triplet Loss for Visible-Thermal Person Re-Identification [O] . Haijun Liu, Xiaoheng Tan, Xichuan Zhou 2020

机译：可见热人重新识别的参数共享探索和异质中心三重态损耗

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

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