Mining Latent Classes for Few-shot Segmentation

29 March 2021

Lei Qi

Papers citing "Mining Latent Classes for Few-shot Segmentation"

27 / 27 papers shown

Title
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation Yazhou Zhu Minxian Li Qiaolin Ye Shidong Wang Tong Xin Haofeng Zhang 33 0 0 01 Oct 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 53 6 0 28 Jul 2024
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion G. An Yuchi Huo Sung-eui Yoon 47 0 0 17 Jun 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 23 0 0 29 Jan 2024
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan M. Pagnucco Yang Song 13 3 0 08 Dec 2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation Yazhou Zhu Shidong Wang Tong Xin Zheng-Wei Zhang Haofeng Zhang 18 10 0 20 Sep 2023
Masked Cross-image Encoding for Few-shot Segmentation Wenbo Xu Huaxi Huang Mingg-Ming Cheng Litao Yu Qiang Wu Jian Andrew Zhang 35 4 0 22 Aug 2023
Dense Affinity Matching for Few-Shot Segmentation Hao Chen Yonghan Dong Zhe-Ming Lu Yunlong Yu Yingming Li Jungong Han Zhongfei Zhang 37 8 0 17 Jul 2023
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation Zhaoxin Fan Puquan Pan Zeren Zhang C. Chen Tianyang Wang Si Zheng Min Xu VLM 28 0 0 13 Jul 2023
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation Yong Yang Qiong Chen Yuan Feng Tianlin Huang 25 30 0 23 May 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 30 6 0 20 Feb 2023
Activating the Discriminability of Novel Classes for Few-shot Segmentation Dianwen Mei Wei Zhuo Jiandong Tian Guangming Lu Wenjie Pei VLM 30 0 0 02 Dec 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation Haoyan Guan Michael W. Spratling 10 3 0 21 Oct 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation Sunghwan Hong Seokju Cho Jisu Nam Stephen Lin Seung Wook Kim ViT 19 122 0 22 Jul 2022
Learning Non-target Knowledge for Few-shot Semantic Segmentation Yuanwei Liu Nian Liu Qinglong Cao Xiwen Yao Junwei Han Ling Shao 25 105 0 10 May 2022
Learning Local and Global Temporal Contexts for Video Semantic Segmentation Guolei Sun Yun Liu Henghui Ding Min Wu Luc Van Gool 25 32 0 07 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 26 59 0 29 Mar 2022
HM: Hybrid Masking for Few-Shot Segmentation Seonghyeon Moon Samuel S. Sohn Honglu Zhou Sejong Yoon Vladimir Pavlovic Muhammad Haris Khan Mubbasir Kapadia 28 9 0 24 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz X. Wang ViT VLM 189 499 0 22 Feb 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 35 20 0 30 Oct 2021
Dense Gaussian Processes for Few-Shot Segmentation Joakim Johnander Johan Edstedt M. Felsberg F. Khan Martin Danelljan 59 30 0 07 Oct 2021
Few-Shot Segmentation via Cycle-Consistent Transformer Gengwei Zhang Guoliang Kang Yi Yang Yunchao Wei ViT 19 177 0 04 Jun 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 174 187 0 11 Dec 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 25 80 0 11 Oct 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 149 192 0 24 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017