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A Joint Framework Towards Class-aware and Class-agnostic Alignment for
  Few-shot Segmentation

A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation

2 November 2022
Kai-Qi Huang
Mingfei Cheng
Yang Wang
Bochen Wang
Ye Xi
Feigege Wang
Peng Chen
ArXivPDFHTML

Papers citing "A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation"

4 / 4 papers shown
Title
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
53
108
0
06 Aug 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
79
60
0
27 Apr 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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