56 citations · 151 across the 24 of their papers we have counts for
12 papers · 1 filter
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Xiuxiu Bai, Zhe Liu, Yao Gao +2
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (…
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation
Qiankun Liu, Dongdong Chen, Qi Chu +4
Occlusion between different objects is a typical challenge in Multi-Object Tracking (MOT), which often leads to inferior tracking results due to the missing detected objects. The c…
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…
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…