Yuai Liu

Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition

Deep metric learning is essential for visual recognition. The widely used pair-wise (or triplet) based loss objectives cannot make full use of semantical information in training samples or give enough attention to those hard samples during optimization. Thus, they often suffer from a slow convergenc…