193 citations · 268 across the 4 of their papers we have counts for
4 papers
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning
Yinda Chen, Wei Huang, Shenglong Zhou +2
The performance of existing supervised neuron segmentation methods is highly dependent on the number of accurate annotations, especially when applied to large scale electron micros…
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Yinda Chen, Wei Huang, Xiaoyu Liu +3
Instance segmentation in electron microscopy (EM) volumes is tough due to complex shapes and sparse annotations. Self-supervised learning helps but still struggles with intricate v…
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Qi Chen, Lingxiao Yang, Jianhuang Lai +1
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often rely on Class Activation…
FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture
Wenjun Liu, Yuchun Huang, Ying Li +1
Timely, accurate and automatic detection of pavement cracks is necessary for making cost-effective decisions concerning road maintenance. Conventional crack detection algorithms fo…