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Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised
  Semantic Segmentation with Multi-scale Inference

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

6 May 2022
Yang Liu
Ersi Zhang
Lulu Xu
Chufan Xiao
Xiao-Yu Zhong
Lijin Lian
Fang Li
Bin Jiang
Yuhan Dong
Lan Ma
Qi Huang
Ming Xu
Yongbing Zhang
Dongmei Yu
C. Yan
Peiwu Qin
ArXivPDFHTML

Papers citing "Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference"

3 / 3 papers shown
Title
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
234
740
0
28 Mar 2018
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
446
15,645
0
02 Nov 2015
1