ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.03579
  4. Cited By
Prototype Refinement Network for Few-Shot Segmentation

Prototype Refinement Network for Few-Shot Segmentation

10 February 2020
Jinlu Liu
Yongqiang Qin
    SSeg
ArXivPDFHTML

Papers citing "Prototype Refinement Network for Few-Shot Segmentation"

6 / 6 papers shown
Title
Memory-guided Network with Uncertainty-based Feature Augmentation for
  Few-shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen
Miaojing Shi
50
0
0
01 Jun 2024
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical
  Transformer
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
Yazhou Zhu
Shidong Wang
Tong Xin
Haofeng Zhang
ViT
MedIm
49
14
0
09 Sep 2023
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Chunbo Lang
Gong Cheng
Binfei Tu
Junwei Han
26
201
0
15 Mar 2022
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
30
76
0
16 Sep 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chen Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
30
205
0
20 Jul 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
505
11,727
0
09 Mar 2017
1