56 citations · 202 across the 47 of their papers we have counts for
10 papers · 1 filter
Unsupervised Finetuning
Suichan Li, Dongdong Chen, Yinpeng Chen +5
This paper studies "unsupervised finetuning", the symmetrical problem of the well-known "supervised finetuning". Given a pretrained model and small-scale unlabeled target data, uns…
Asymmetric Graph Representation Learning
Zhuo Tan, Bin Liu, Guosheng Yin
Despite the enormous success of graph neural networks (GNNs), most existing GNNs can only be applicable to undirected graphs where relationships among connected nodes are two-way s…
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
Zhenchao Jin, Bin Liu, Qi Chu +1
Co-occurrent visual pattern makes aggregating contextual information a common paradigm to enhance the pixel representation for semantic image segmentation. The existing approaches…
Abnormal Behavior Detection Based on Target Analysis
Luchuan Song, Bin Liu, Huihui Zhu +2
Abnormal behavior detection in surveillance video is a pivotal part of the intelligent city. Most existing methods only consider how to detect anomalies, with less considering to e…
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li, Dongdong Chen, Yinpeng Chen +5
Unsupervised pretraining has achieved great success and many recent works have shown unsupervised pretraining can achieve comparable or even slightly better transfer performance th…
Intelligent Decision Method for Main Control Parameters of Tunnel Boring Machine based on Multi-Objective Optimization of Excavation Efficiency and Cost
Bin Liu, Yaxu Wang, Guangzu Zhao +4
Timely and reasonable matching of the control parameters and geological conditions of the rock mass in tunnel excavation is crucial for hard rock tunnel boring machines (TBMs). The…