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. 2406.10855
  4. Cited By
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing
  Segmentation With Segment Anything Model

ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model

16 June 2024
Song Zhang
Qingzhong Wang
Junyi Liu
Haoyi Xiong
ArXiv (abs)PDFHTMLGithub (16★)

Papers citing "ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model"

35 / 35 papers shown
Title
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and
  Time Efficient Adapter Tuning for Dense Predictions
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
Dongshuo Yin
Xueting Han
Bin Li
Hao Feng
Jinghua Bai
VPVLM
69
19
0
16 Jun 2023
Knowledge distillation with Segment Anything (SAM) model for Planetary
  Geological Mapping
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping
Sahib Julka
Michael Granitzer
77
30
0
12 May 2023
Segment and Track Anything
Segment and Track Anything
Yangming Cheng
Liulei Li
Yuanyou Xu
Xiaodi Li
Zongxin Yang
Wenguan Wang
Yi Yang
VOS
82
203
0
11 May 2023
MMRotate: A Rotated Object Detection Benchmark using PyTorch
MMRotate: A Rotated Object Detection Benchmark using PyTorch
Yue Zhou
Xue Yang
Gefan Zhang
Jiabao Wang
Yanyi Liu
...
Xingzhao Liu
Junchi Yan
Chengqi Lyu
Wenwei Zhang
Kai Chen
113
306
0
28 Apr 2022
An Empirical Study of Remote Sensing Pretraining
An Empirical Study of Remote Sensing Pretraining
Di Wang
Jing Zhang
Bo Du
Guisong Xia
Dacheng Tao
EDL
102
197
0
06 Apr 2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters
DeepDPM: Deep Clustering With an Unknown Number of Clusters
M. Ronen
Shahaf E. Finder
Oren Freifeld
78
72
0
27 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
482
7,837
0
11 Nov 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
332
5,095
0
31 May 2021
Oriented RepPoints for Aerial Object Detection
Oriented RepPoints for Aerial Object Detection
Wentong Li
Yijie Chen
Kaixuan Hu
Jianke Zhu
3DPC
99
312
0
24 May 2021
Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
Robin Strudel
Ricardo Garcia Pinel
Ivan Laptev
Cordelia Schmid
ViT
220
1,474
0
12 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
737
6,139
0
29 Apr 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and
  Equivariance in Clustering
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho
Utkarsh Mall
Kavita Bala
B. Hariharan
91
196
0
30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
470
21,603
0
25 Mar 2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in
  High-Resolution Remote Sensing Imagery
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun
Peijin Wang
Zhiyuan Yan
F. Xu
Ruiping Wang
...
Tao Xu
M. Weinmann
Stefan Hinz
Cheng Wang
Kun Fu
ObjDAI4TS
74
370
0
09 Mar 2021
Object Detection in Aerial Images: A Large-Scale Benchmark and
  Challenges
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding
Nan Xue
Guisong Xia
X. Bai
Wen Yang
...
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Lefei Zhang
231
406
0
24 Feb 2021
Self-Supervised Visual Representation Learning from Hierarchical
  Grouping
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang
Michael Maire
SSL
75
74
0
05 Dec 2020
SegSort: Segmentation by Discriminative Sorting of Segments
SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang
Stella X. Yu
Jianbo Shi
Maxwell D. Collins
Tien-Ju Yang
Xiao Zhang
Liang-Chieh Chen
213
149
0
15 Oct 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New
  Benchmark
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
79
1,463
0
31 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
401
3,636
0
20 Aug 2019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir
Aditya Arora
Akshita Gupta
Salman Khan
Guolei Sun
Fahad Shahbaz Khan
Fan Zhu
Ling Shao
Guisong Xia
X. Bai
SSegVLM
78
348
0
30 May 2019
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
Hanchao Li
Pengfei Xiong
Haoqiang Fan
Jian Sun
SSeg
83
568
0
03 Apr 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
69
466
0
01 Apr 2019
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
102
853
0
17 Jul 2018
Learning a Discriminative Feature Network for Semantic Segmentation
Learning a Discriminative Feature Network for Semantic Segmentation
Changqian Yu
Jingbo Wang
Chao Peng
Changxin Gao
Gang Yu
Nong Sang
SSeg
63
762
0
25 Apr 2018
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Meng Tang
Abdelaziz Djelouah
Federico Perazzi
Yuri Boykov
Christopher Schroers
64
320
0
04 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
493
13,194
0
07 Feb 2018
Learning random-walk label propagation for weakly-supervised semantic
  segmentation
Learning random-walk label propagation for weakly-supervised semantic segmentation
Paul Vernaza
Manmohan Chandraker
95
255
0
01 Feb 2018
Remote Sensing Image Scene Classification: Benchmark and State of the
  Art
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng
Junwei Han
Xiaoqiang Lu
108
2,269
0
01 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,046
0
04 Dec 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
98
1,334
0
15 Nov 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSODVLMISeg
99
747
0
24 Mar 2016
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
112
986
0
06 Jun 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
206
1,046
0
05 Mar 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
121
920
0
09 Feb 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
1