most citedFew-shot Semantic Segmentation with Support-induced Graph Convolutional Network

5 citations · 8 across the 6 of their papers we have counts for

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cs.CV2023★ 1 cited

PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation

Cilin Yan, Haochen Wang, Jie Liu +5

Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing. In such a task, target…

cs.CV2023★ 5 cited

Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network

Jie Liu, Yanqi Bao, Wenzhe Yin +4

Few-shot semantic segmentation (FSS) aims to achieve novel objects segmentation with only a few annotated samples and has made great progress recently. Most of the existing FSS mod…

cs.CV2022

A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval

Yilan Zhang, Fengying Xie, Xuedong Song +4

The computer-aided diagnosis (CAD) system can provide a reference basis for the clinical diagnosis of skin diseases. Convolutional neural networks (CNNs) can not only extract visua…

cs.CV2022

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

Jie Liu, Yanqi Bao, Guo-Sen Xie +3

The key challenge for few-shot semantic segmentation (FSS) is how to tailor a desirable interaction among support and query features and/or their prototypes, under the episodic tra…

cs.CV2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

Xiaoqing Guo, Jie Liu, Tongliang Liu +1

This paper studies a practical domain adaptive (DA) semantic segmentation problem where only pseudo-labeled target data is accessible through a black-box model. Due to the domain g…