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. 1709.00029
  4. Cited By
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

31 August 2017
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
ArXivPDFHTML

Papers citing "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification"

50 / 271 papers shown
Title
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
Samuel Lavoie
Polina Kirichenko
Mark Ibrahim
Mahmoud Assran
Andrew Gordon Wilson
Aaron Courville
Nicolas Ballas
CLIP
VLM
67
20
0
30 Apr 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
36
11
0
13 Apr 2024
Calibration of Continual Learning Models
Calibration of Continual Learning Models
Lanpei Li
Elia Piccoli
Andrea Cossu
Davide Bacciu
Vincenzo Lomonaco
CLL
45
2
0
11 Apr 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
48
2
0
22 Mar 2024
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization
  with Vision-Language Models
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
Elaine Sui
Xiaohan Wang
Serena Yeung-Levy
VLM
30
5
0
19 Mar 2024
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained
  Ship Classification
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
Long Lan
Fengxiang Wang
Shuyan Li
Xiangtao Zheng
Zengmao Wang
Xinwang Liu
VLM
31
7
0
13 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on
  Training Sets
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
Lorenzo Brigato
S. Mougiakakou
45
0
0
08 Mar 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD
  Generalization
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
39
12
0
29 Jan 2024
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO
  Satellite Learning
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
Mohamed Elmahallawy
Tie-Mei Luo
33
3
0
28 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
30
5
0
09 Jan 2024
Effective pruning of web-scale datasets based on complexity of concept
  clusters
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Abbas
E. Rusak
Kushal Tirumala
Wieland Brendel
Kamalika Chaudhuri
Ari S. Morcos
VLM
CLIP
34
22
0
09 Jan 2024
Black-Box Tuning of Vision-Language Models with Effective Gradient
  Approximation
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
Zixian Guo
Yuxiang Wei
Ming-Yu Liu
Zhilong Ji
Jinfeng Bai
Yiwen Guo
Wangmeng Zuo
VLM
36
8
0
26 Dec 2023
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
25
0
0
18 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for
  Rehearsal-Free Continual Learning with Pre-Trained Models
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens
Hans Hergen Lehmann
Jae Hee Lee
Stefan Wermter
CLL
35
7
0
13 Dec 2023
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL
  Architectures
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Vimal Thilak
Chen Huang
Omid Saremi
Laurent Dinh
Hanlin Goh
Preetum Nakkiran
Josh Susskind
Etai Littwin
23
7
0
07 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
46
3
0
05 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
33
17
0
30 Nov 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
28
6
0
27 Nov 2023
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
Wenhao Wu
Huanjin Yao
Mengxi Zhang
Yuxin Song
Wanli Ouyang
Jingdong Wang
VLM
28
29
0
27 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for
  Hierarchical Understanding
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Peng Xia
Xingtong Yu
Ming Hu
Lie Ju
Zhiyong Wang
Peibo Duan
Zongyuan Ge
VLM
57
9
0
23 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang
Xingjun Ma
Xin Wang
Lingyu Qiu
Jiaqi Wang
Yu-Gang Jiang
Jitao Sang
AAML
VPVLM
VLM
30
18
0
19 Nov 2023
A Coefficient Makes SVRG Effective
A Coefficient Makes SVRG Effective
Yida Yin
Zhiqiu Xu
Zhiyuan Li
Trevor Darrell
Zhuang Liu
33
1
0
09 Nov 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
S. M. Fazle
J. Mondal
Meem Arafat Manab
Xi Xiao
Sarfaraz Newaz
AAML
27
0
0
18 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
38
9
0
04 Oct 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
37
14
0
15 Sep 2023
Gradient constrained sharpness-aware prompt learning for vision-language
  models
Gradient constrained sharpness-aware prompt learning for vision-language models
Liangchen Liu
Nannan Wang
Dawei Zhou
Xinbo Gao
Decheng Liu
Xi Yang
Tongliang Liu
VLM
33
2
0
14 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
34
0
0
04 Sep 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification
  with Cross-Modal Retrieval
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval
Seong-Hoon Eom
Namgyu Ho
Jaehoon Oh
Se-Young Yun
CLIP
VLM
38
0
0
29 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Baoshuo Kan
Teng Wang
Wenpeng Lu
Xiantong Zhen
Weili Guan
Feng Zheng
VPVLM
VLM
31
25
0
22 Aug 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
32
14
0
27 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
50
3
0
20 Jul 2023
Quantitative Analysis of Primary Attribution Explainable Artificial
  Intelligence Methods for Remote Sensing Image Classification
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification
Akshatha Mohan
Joshua Peeples
24
4
0
06 Jun 2023
Consistent Optimal Transport with Empirical Conditional Measures
Consistent Optimal Transport with Empirical Conditional Measures
Piyushi Manupriya
Rachit Keerti Das
Sayantan Biswas
S. Jagarlapudi
OT
37
3
0
25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data
Training on Thin Air: Improve Image Classification with Generated Data
Yongchao Zhou
Hshmat Sahak
Jimmy Ba
DiffM
19
43
0
24 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
51
110
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
37
12
0
22 May 2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
44
16
0
30 Apr 2023
A surprisingly simple technique to control the pretraining bias for
  better transfer: Expand or Narrow your representation
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation
Florian Bordes
Samuel Lavoie
Randall Balestriero
Nicolas Ballas
Pascal Vincent
SSL
34
5
0
11 Apr 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary
  Visual Recognition
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren
Aston Zhang
Yi Zhu
Shuai Zhang
Shuai Zheng
Mu Li
Alexander J. Smola
Xu Sun
VPVLM
VLM
24
28
0
10 Apr 2023
Defense-Prefix for Preventing Typographic Attacks on CLIP
Defense-Prefix for Preventing Typographic Attacks on CLIP
Hiroki Azuma
Yusuke Matsui
VLM
AAML
20
17
0
10 Apr 2023
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun
Pengchuan Zhang
Peizhao Zhang
Hardik Shah
Kate Saenko
Xide Xia
VLM
25
20
0
31 Mar 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch
  Sampling
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
Ethan Wisdom
Tejas Gokhale
Chaowei Xiao
Yezhou Yang
23
0
0
30 Mar 2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan-Sen Sun
Yuxin Fang
Ledell Yu Wu
Xinlong Wang
Yue Cao
CLIP
VLM
69
468
0
27 Mar 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Xinyang Liu
Dongsheng Wang
Bowei Fang
Miaoge Li
Zhibin Duan
Yishi Xu
Bo Chen
Mingyuan Zhou
VLM
VPVLM
29
5
0
16 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
35
13
0
15 Mar 2023
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
41
52
0
14 Mar 2023
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with
  Benchmarks Using Supervised and Self-supervised Learning
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen
Sachith Seneviratne
Xinye Wanyan
M. Kirley
49
14
0
13 Mar 2023
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Ning Liao
Bowen Shi
Xiaopeng Zhang
Min Cao
Junchi Yan
Qi Tian
VLM
34
7
0
09 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLM
MLLM
40
170
0
03 Mar 2023
Towards Democratizing Joint-Embedding Self-Supervised Learning
Towards Democratizing Joint-Embedding Self-Supervised Learning
Florian Bordes
Randall Balestriero
Pascal Vincent
27
20
0
03 Mar 2023
Previous
123456
Next