2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Yulin He, Wei Chen, Ke Liang +3
Pseudo-Labeling has emerged as a simple yet effective technique for semi-supervised object detection (SSOD). However, the inevitable noise problem in pseudo-labels significantly de…
cs.CV2017
Learning for Disparity Estimation through Feature Constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo +5
Stereo matching algorithms usually consist of four steps, including matching cost calculation, matching cost aggregation, disparity calculation, and disparity refinement. Existing…