7 citations · 15 across the 4 of their papers we have counts for
4 papers
Coded Residual Transform for Generalizable Deep Metric Learning
Shichao Kan, Yixiong Liang, Min Li +3
A fundamental challenge in deep metric learning is the generalization capability of the feature embedding network model since the embedding network learned on training classes need…
Exploring Contextual Relationships for Cervical Abnormal Cell Detection
Yixiong Liang, Shuo Feng, Qing Liu +5
Cervical abnormal cell detection is a challenging task as the morphological discrepancies between abnormal and normal cells are usually subtle. To determine whether a cervical cell…
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
Qing Liu, Haotian Liu, Wei Ke +1
Feature reassembly is an essential component in modern CNN-based segmentation approaches, which includes feature downsampling and upsampling operators. Existing operators reassembl…
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Qing Liu, Haotian Liu, Yixiong Liang
Automated segmentation of hard exudates in colour fundus images is a challenge task due to issues of extreme class imbalance and enormous size variation. This paper aims to tackle…