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Remote Sensing Image Scene Classification: Benchmark and State of the
  Art

Remote Sensing Image Scene Classification: Benchmark and State of the Art

1 March 2017
Gong Cheng
Junwei Han
Xiaoqiang Lu
ArXiv (abs)PDFHTML

Papers citing "Remote Sensing Image Scene Classification: Benchmark and State of the Art"

50 / 541 papers shown
Title
PanBench: Towards High-Resolution and High-Performance Pansharpening
PanBench: Towards High-Resolution and High-Performance Pansharpening
Shiying Wang
Xuechao Zou
Kai Li
Junliang Xing
Pin Tao
88
1
0
20 Nov 2023
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated
  Student-Teacher Learning
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
Yan Li
Weiwei Guo
Xue Yang
Ning Liao
Dunyun He
Jiaqi Zhou
Wenxian Yu
ObjDVLM
85
10
0
20 Nov 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner
  from Backbone
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
Zeyinzi Jiang
Chaojie Mao
Ziyuan Huang
Ao Ma
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
88
16
0
30 Oct 2023
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing
  Image Super-Resolution
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao
Qiangqiang Yuan
Kui Jiang
Jiang He
Xianyu Jin
Liangpei Zhang
DiffM
86
127
0
30 Oct 2023
There Are No Data Like More Data- Datasets for Deep Learning in Earth
  Observation
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
Michael Schmitt
S. A. Ahmadi
Yonghao Xu
G. Taşkın
Ujjwal Verma
F. Sica
Ronny Hansch
72
27
0
30 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLMCLIP
121
31
0
24 Oct 2023
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP
  Performance on Low-Resource Languages
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages
G. O. D. Santos
Diego A. B. Moreira
Alef Iury Ferreira
Jhessica Silva
Luiz Pereira
...
H. Maia
Nádia Da Silva
Esther Colombini
Hélio Pedrini
Sandra Avila
VLMCLIP
71
5
0
20 Oct 2023
Model Merging by Uncertainty-Based Gradient Matching
Model Merging by Uncertainty-Based Gradient Matching
Nico Daheim
Thomas Möllenhoff
Edoardo Ponti
Iryna Gurevych
Mohammad Emtiyaz Khan
MoMeFedML
98
53
0
19 Oct 2023
VeRA: Vector-based Random Matrix Adaptation
VeRA: Vector-based Random Matrix Adaptation
D. J. Kopiczko
Tijmen Blankevoort
Yuki Markus Asano
VLM
83
164
0
17 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and Benchmark
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
VLM
87
22
0
12 Oct 2023
VeCLIP: Improving CLIP Training via Visual-enriched Captions
VeCLIP: Improving CLIP Training via Visual-enriched Captions
Zhengfeng Lai
Haotian Zhang
Bowen Zhang
Wentao Wu
Haoping Bai
...
Zhe Gan
Jiulong Shan
Chen-Nee Chuah
Yinfei Yang
Meng Cao
CLIPVLM
105
31
0
11 Oct 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Anke Tang
Li Shen
Yong Luo
Yibing Zhan
Han Hu
Bo Du
Yixin Chen
Dacheng Tao
MoMe
122
36
0
07 Oct 2023
Investigating the Limitation of CLIP Models: The Worst-Performing
  Categories
Investigating the Limitation of CLIP Models: The Worst-Performing Categories
Jiejing Shao
Jiang-Xin Shi
Xiao-Wen Yang
Lan-Zhe Guo
Yu-Feng Li
VLM
98
13
0
05 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Zihao Lin
Yan Sun
Yifan Shi
Xueqian Wang
Lifu Huang
Li Shen
Dacheng Tao
98
12
0
04 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang
Zhenyi Wang
Li Shen
Shiwei Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
MoMe
124
125
0
04 Oct 2023
BYOM: Building Your Own Multi-Task Model For Free
BYOM: Building Your Own Multi-Task Model For Free
Weisen Jiang
Baijiong Lin
Han Shi
Yu Zhang
Zhenguo Li
James T. Kwok
MoMe
89
6
0
03 Oct 2023
Domain-Controlled Prompt Learning
Domain-Controlled Prompt Learning
Qinglong Cao
Zhengqin Xu
Yuantian Chen
Chao Ma
Xiaokang Yang
VLM
98
18
0
30 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Hao Chen
Jindong Wang
Ankit Shah
Ran Tao
Hongxin Wei
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
108
31
0
29 Sep 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
98
6
0
28 Sep 2023
Locality-preserving Directions for Interpreting the Latent Space of
  Satellite Image GANs
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs
Georgia Kourmouli
Nikos Kostagiolas
Yannis Panagakis
M. Nicolaou
GAN
62
1
0
26 Sep 2023
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot
  Classification with Unimodal Cues
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
Ankit Jha
Debabrata Pal
Mainak Singha
Naman Agarwal
Biplab Banerjee
46
0
0
23 Sep 2023
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with
  CNN-Transformer Hybrid Framework
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
Yuelei Wang
Ting Zhang
Liangjin Zhao
Lin Hu
Zhechao Wang
...
Kaiqiang Chen
Xuan Zeng
Zhirui Wang
Hongqi Wang
Xian Sun
92
5
0
16 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
115
14
0
15 Sep 2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient
  Fine-tuning
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning
Sanghyeon Kim
Hyunmo Yang
Younghyun Kim
Youngjoon Hong
Eunbyung Park
AI4CE
73
18
0
13 Sep 2023
Efficient Curriculum based Continual Learning with Informative Subset
  Selection for Remote Sensing Scene Classification
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
Divakar Bhat
Biplab Banerjee
S. Chaudhuri
A. Bhattacharya
CLL
53
0
0
03 Sep 2023
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote
  Sensing Image Classification
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
C. Sitaula
Jagannath Aryal
A. Bhattacharya
31
3
0
27 Aug 2023
Fine-tuning can cripple your foundation model; preserving features may
  be the solution
Fine-tuning can cripple your foundation model; preserving features may be the solution
Jishnu Mukhoti
Y. Gal
Philip Torr
P. Dokania
CLL
130
47
0
25 Aug 2023
Ground-to-Aerial Person Search: Benchmark Dataset and Approach
Ground-to-Aerial Person Search: Benchmark Dataset and Approach
Shizhou Zhang
Qin Yang
De Cheng
Yinghui Xing
Guoqiang Liang
Peng Wang
Yanning Zhang
71
6
0
24 Aug 2023
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Kaicheng Yang
Jiankang Deng
Xiang An
Jiawei Li
Ziyong Feng
Jia Guo
Jing Yang
Tongliang Liu
VLMCLIP
87
52
0
16 Aug 2023
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free
  Domain Adaptation
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu
Ke Zhang
Lu Xia
Albert Y. C. Chen
Jiajia Luo
...
Nan Qiao
Xiao Zeng
Min Sun
Cheng-Hao Kuo
Ram Nevatia
VLM
38
27
0
04 Aug 2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of
  Precision Redundancy
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
Shibo Jie
Haoqing Wang
Zhiwei Deng
76
34
0
31 Jul 2023
Benchmarking and Analyzing Generative Data for Visual Recognition
Benchmarking and Analyzing Generative Data for Visual Recognition
Yue Liu
Haotian Liu
Liangyu Chen
Yong Jae Lee
Cuiping Li
Ziwei Liu
EGVMVLM
46
4
0
25 Jul 2023
Does color modalities affect handwriting recognition? An empirical study
  on Persian handwritings using convolutional neural networks
Does color modalities affect handwriting recognition? An empirical study on Persian handwritings using convolutional neural networks
A. Zohrevand
Z. Imani
J. Sadri
C. Suen
47
1
0
22 Jul 2023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large
  Vision-Language Model for Remote Sensing
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang
Tiancheng Zhao
Yulong Guo
Yuxiang Cai
DiffMVLM
146
67
0
20 Jun 2023
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
Fan Liu
Delong Chen
Zhan-Rong Guan
Xiaocong Zhou
Jiale Zhu
Qiaolin Ye
Liyong Fu
Jun Zhou
VLM
170
224
0
19 Jun 2023
LOVM: Language-Only Vision Model Selection
LOVM: Language-Only Vision Model Selection
O. Zohar
Shih-Cheng Huang
Kuan-Chieh Wang
Serena Yeung
MLLM
79
14
0
15 Jun 2023
Image Captioners Are Scalable Vision Learners Too
Image Captioners Are Scalable Vision Learners Too
Michael Tschannen
Manoj Kumar
Andreas Steiner
Xiaohua Zhai
N. Houlsby
Lucas Beyer
VLMCLIP
110
60
0
13 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
117
28
0
06 Jun 2023
Continual Learning with Pretrained Backbones by Tuning in the Input
  Space
Continual Learning with Pretrained Backbones by Tuning in the Input Space
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
Tinne Tuytelaars
CLL
56
2
0
05 Jun 2023
TIES-Merging: Resolving Interference When Merging Models
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
MoMe
143
318
0
02 Jun 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label
  Prompt Tuning
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
Cristina Menghini
Andrew T. Delworth
Stephen H. Bach
VLM
144
26
0
02 Jun 2023
Improving CLIP Training with Language Rewrites
Improving CLIP Training with Language Rewrites
Lijie Fan
Dilip Krishnan
Phillip Isola
Dina Katabi
Yonglong Tian
BDLVLMCLIP
109
177
0
31 May 2023
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation
J. Sun
Xiaoshuang Shi
Zhiyuan Weng
Kaidi Xu
Jikang Cheng
Xiao-lan Zhu
MLLM
70
2
0
28 May 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
VLM
55
13
0
26 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMeCLL
58
3
0
25 May 2023
Sorted Convolutional Network for Achieving Continuous Rotational
  Invariance
Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Hanlin Mo
Guoying Zhao
50
0
0
23 May 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist
  Captions
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jinwoo Shin
VLMCLIP
128
25
0
23 May 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and
  normalization matters
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
Peyman Najafirad
122
19
0
22 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained
  Models
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jiménez
Alessandro Favero
P. Frossard
MoMe
163
125
0
22 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
103
5
0
12 May 2023
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