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A Strong Baseline for Generalized Few-Shot Semantic Segmentation

A Strong Baseline for Generalized Few-Shot Semantic Segmentation

25 November 2022
Sina Hajimiri
Malik Boudiaf
Ismail Ben Ayed
Jose Dolz
    VLM
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Papers citing "A Strong Baseline for Generalized Few-Shot Semantic Segmentation"

5 / 5 papers shown
Title
Class Similarity Transition: Decoupling Class Similarities and Imbalance
  from Generalized Few-shot Segmentation
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang
Ruixun Liu
Kaiyu Li
Jiawei Jiang
Xiangyong Cao
19
2
0
08 Apr 2024
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
41
37
0
28 Sep 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
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
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
1