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PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

18 August 2019
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
    VLM
ArXivPDFHTML

Papers citing "PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment"

6 / 156 papers shown
Title
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
27
70
0
09 Mar 2020
Weakly Supervised Few-shot Object Segmentation using Co-Attention with
  Visual and Semantic Embeddings
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam
Naren Doraiswamy
Boris N. Oreshkin
Hengshuai Yao
Martin Jägersand
29
8
0
26 Jan 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
42
189
0
21 Dec 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li
Tianhan Wei
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
VLM
18
243
0
29 Jul 2019
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
496
11,727
0
09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
457
15,657
0
02 Nov 2015
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