65 citations · 99 across the 4 of their papers we have counts for
4 papers
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…
Teacher-Critical Training Strategies for Image Captioning
Yiqing Huang, Jiansheng Chen
Existing image captioning models are usually trained by cross-entropy (XE) loss and reinforcement learning (RL), which set ground-truth words as hard targets and force the captioni…
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…
Towards End-to-End Face Recognition through Alignment Learning
Yuanyi Zhong, Jiansheng Chen, Bo Huang
Plenty of effective methods have been proposed for face recognition during the past decade. Although these methods differ essentially in many aspects, a common practice of them is…