4 citations · 17 across the 30 of their papers we have counts for
8 papers · 1 filter
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance
Sheng Zhang, Hui Li, Yanlin Wang +4
Code search engine is an essential tool in software development. Many code search methods have sprung up, focusing on the overall ranking performance of code search. In this paper,…
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Jie Hu, Chen Chen, Liujuan Cao +4
Pseudo-labeling is significant for semi-supervised instance segmentation, which generates instance masks and classes from unannotated images for subsequent training. However, in ex…
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Hao Liu, Yanlin Wang, Zhao Wei +4
Refactoring is an indispensable practice of improving the quality and maintainability of source code in software evolution. Rename refactoring is the most frequently performed refa…
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Yunshan Zhong, Yuyao Zhou, Fei Chao +1
Arbitrary bit-width network quantization has received significant attention due to its high adaptability to various bit-width requirements during runtime. However, in this paper, w…
InterFormer: Real-time Interactive Image Segmentation
You Huang, Hao Yang, Ke Sun +4
Interactive image segmentation enables annotators to efficiently perform pixel-level annotation for segmentation tasks. However, the existing interactive segmentation pipeline suff…
You Only Segment Once: Towards Real-Time Panoptic Segmentation
Jie Hu, Linyan Huang, Tianhe Ren +3
In this paper, we propose YOSO, a real-time panoptic segmentation framework. YOSO predicts masks via dynamic convolutions between panoptic kernels and image feature maps, in which…
DistilPose: Tokenized Pose Regression with Heatmap Distillation
Suhang Ye, Yingyi Zhang, Jie Hu +6
In the field of human pose estimation, regression-based methods have been dominated in terms of speed, while heatmap-based methods are far ahead in terms of performance. How to tak…
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
Qiong Wu, Jiahan Li, Pingyang Dai +4
Unsupervised domain adaptation person re-identification (Re-ID) aims to identify pedestrian images within an unlabeled target domain with an auxiliary labeled source-domain dataset…