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. 2202.03740
  4. Cited By
Consistency-Regularized Region-Growing Network for Semantic Segmentation
  of Urban Scenes with Point-Level Annotations

Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations

8 February 2022
Yonghao Xu
Pedram Ghamisi
ArXivPDFHTML

Papers citing "Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations"

6 / 6 papers shown
Title
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
80
5
0
31 Dec 2024
HANet: A Hierarchical Attention Network for Change Detection With
  Bitemporal Very-High-Resolution Remote Sensing Images
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Chengxi Han
Chen Wu
Haonan Guo
Meiqi Hu
Hongruixuan Chen
33
91
0
14 Apr 2024
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Nikolaus Drager
Yonghao Xu
Pedram Ghamisi
AAML
28
13
0
15 Nov 2022
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern
  Hopfield Networks
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
Yonghao Xu
Weikang Yu
Pedram Ghamisi
Michael K Kopp
Sepp Hochreiter
29
31
0
08 Aug 2022
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Yuansheng Hua
Diego Marcos
Lichao Mou
Xiaoxiang Zhu
D. Tuia
41
81
0
10 Jan 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
1