MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation

20 June 2022

Papers citing "MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation"

9 / 9 papers shown

Title
Explore In-Context Segmentation via Latent Diffusion Models Chaoyang Wang Xiangtai Li Henghui Ding Lu Qi Jiangning Zhang Yunhai Tong Chen Change Loy Shuicheng Yan DiffM 63 6 0 14 Mar 2024
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation Yuan Wang Naisong Luo Tianzhu Zhang 26 11 0 29 Nov 2023
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 164 173 0 06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 53 108 0 06 Aug 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 169 187 0 11 Dec 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 144 192 0 24 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015