26 citations · 137 across the 12 of their papers we have counts for
5 papers · 1 filter
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai +4
State-of-the-art deep learning based stereo matching approaches treat disparity estimation as a regression problem, where loss function is directly defined on true disparities and…
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
Zhanghui Kuang, Yiming Gao, Guanbin Li +4
Matching clothing images from customers and online shopping stores has rich applications in E-commerce. Existing algorithms encoded an image as a global feature vector and performe…
Data-Driven Neuron Allocation for Scale Aggregation Networks
Yi Li, Zhanghui Kuang, Yimin Chen +1
Successful visual recognition networks benefit from aggregating information spanning from a wide range of scales. Previous research has investigated information fusion of connected…
Intra-Ensemble in Neural Networks
Yuan Gao, Zixiang Cai, Lei Yu
Improving model performance is always the key problem in machine learning including deep learning. However, stand-alone neural networks always suffer from marginal effect when stac…
Learning Efficient Detector with Semi-supervised Adaptive Distillation
Shitao Tang, Litong Feng, Wenqi Shao +3
Knowledge Distillation (KD) has been used in image classification for model compression. However, rare studies apply this technology on single-stage object detectors. Focal loss sh…