16 citations · 16 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 16 cited
Towards Domain Generalization in Object Detection
Xingxuan Zhang, Zekai Xu, Renzhe Xu +5
Despite the striking performance achieved by modern detectors when training and test data are sampled from the same or similar distribution, the generalization ability of detectors…
cs.CV2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Weitao Wan, Jiansheng Chen, Cheng Yu +3
The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural…
cs.CV2018
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan, Yuanyi Zhong, Tianpeng Li +1
We propose a large-margin Gaussian Mixture (L-GM) loss for deep neural networks in classification tasks. Different from the softmax cross-entropy loss, our proposal is established…