3 papers
cs.IR2023
Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation
Xiaoshu Chen, Xiangsheng Li, Kunliang Wei +4
Eliminating examination bias accurately is pivotal to apply click-through data to train an unbiased ranking model. However, most examination-bias estimators are limited to the hypo…
cs.IR2023
Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking
Xiangsheng Li, Xiaoshu Chen, Kunliang Wei +4
Pre-trained language models have achieved great success in various large-scale information retrieval tasks. However, most of pretraining tasks are based on counterfeit retrieval da…
cs.CV2020
HCNet: Hierarchical Context Network for Semantic Segmentation
Yanwen Chong, Congchong Nie, Yulong Tao +2
Global context information is vital in visual understanding problems, especially in pixel-level semantic segmentation. The mainstream methods adopt the self-attention mechanism to…