A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation

14 August 2021

Papers citing "A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation"

5 / 5 papers shown

Title
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
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 144 190 0 24 Mar 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 423 15,438 0 02 Nov 2015