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. 1602.04984
  4. Cited By
Deconvolutional Feature Stacking for Weakly-Supervised Semantic
  Segmentation

Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation

16 February 2016
Hyo-Eun Kim
Sangheum Hwang
    SSeg
ArXivPDFHTML

Papers citing "Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation"

6 / 6 papers shown
Title
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
93
131
0
14 Oct 2021
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Deep Learning in Medical Ultrasound Image Segmentation: a Review
Ziyang Wang
29
28
0
18 Feb 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
668
0
16 Oct 2019
Saliency guided deep network for weakly-supervised image segmentation
Saliency guided deep network for weakly-supervised image segmentation
Fengdong Sun
Wenhui Li
SSeg
21
42
0
19 Oct 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
358
10,639
0
19 Feb 2017
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
24
742
0
19 Mar 2016
1