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. 2406.16502
  4. Cited By
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery

LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery

24 June 2024
Xiaowen Ma
Rongrong Lian
Zhenkai Wu
Hongbo Guo
Mengting Ma
Sensen Wu
Zhenhong Du
Siyang Song
Wei Zhang
ArXivPDFHTML

Papers citing "LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery"

4 / 4 papers shown
Title
NSegment : Noisy Segment Improves Remote Sensing Image Segmentation
NSegment : Noisy Segment Improves Remote Sensing Image Segmentation
Yechan Kim
DongHo Yoon
SooYeon Kim
M. Jeon
36
0
0
28 Apr 2025
BiFormer: Vision Transformer with Bi-Level Routing Attention
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu
Xinjiang Wang
Zhanghan Ke
Wayne Zhang
Rynson W. H. Lau
123
438
0
15 Mar 2023
A Novel Transformer Based Semantic Segmentation Scheme for
  Fine-Resolution Remote Sensing Images
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Libo Wang
Rui Li
Chenxi Duan
Ce Zhang
Xiaoliang Meng
Shenghui Fang
ViT
107
240
0
25 Apr 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
262
955
0
27 Jan 2021
1