FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced
Context-Aware Network

FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

19 January 2023

Tao Chen

Papers citing "FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network"

7 / 7 papers shown

Title
Co-attention Propagation Network for Zero-Shot Video Object Segmentation Gensheng Pei Yazhou Yao Fumin Shen Daniel Huang Xing-Rui Huang Hengtao Shen VOS 28 11 0 08 Apr 2023
Domain-invariant Prototypes for Semantic Segmentation Zhengeng Yang Hongshan Yu Wei Sun Li Cheng Ajmal Saeed Mian 24 2 0 12 Aug 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 164 171 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 169 186 0 11 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 429 15,438 0 02 Nov 2015