Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges

12 April 2023

Papers citing "Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges"

8 / 8 papers shown

Title
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu Muzhi Zhu Hengtao Li Hao Chen Xinlong Wang Chunhua Shen VLM MLLM 86 83 0 22 May 2023
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 164 172 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 144 190 0 24 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 163 841 0 17 May 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 432 15,595 0 02 Nov 2015