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TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

International Conference on Learning Representations (ICLR), 2024
28 January 2025
Jeremy Irvin
Emily Ruoyu Liu
Joyce Chuyi Chen
Ines Dormoy
Jinyoung Kim
Samar Khanna
Zhuo Zheng
Stefano Ermon
    MLLMVLM
ArXiv (abs)PDFHTML

Papers citing "TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data"

15 / 65 papers shown
Change is Everywhere: Single-Temporal Supervised Object Change Detection
  in Remote Sensing Imagery
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng
A. Ma
Liangpei Zhang
Yanfei Zhong
333
127
0
16 Aug 2021
S2Looking: A Satellite Side-Looking Dataset for Building Change
  Detection
S2Looking: A Satellite Side-Looking Dataset for Building Change DetectionRemote Sensing (RS), 2021
Li Shen
Yao Lu
Hao Chen
Hao Wei
Donghai Xie
Jiabao Yue
Rui Chen
Shouye Lv
Bitao Jiang
258
193
0
20 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
1.6K
15,273
0
17 Jun 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 ImageryIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Xian Sun
Peijin Wang
Zhiyuan Yan
F. Xu
Ruiping Wang
...
Tao Xu
M. Weinmann
Stefan Hinz
Cheng Wang
Kun Fu
ObjDAI4TS
251
460
0
09 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
2.0K
41,259
0
26 Feb 2021
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene
  Understanding
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingIEEE Access (IEEE Access), 2020
Maryam Rahnemoonfar
Tashnim Chowdhury
Argho Sarkar
D. Varshney
M. Yari
Robin Murphy
349
344
0
05 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.4K
55,030
0
22 Oct 2020
RSVQA: Visual Question Answering for Remote Sensing Data
RSVQA: Visual Question Answering for Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Sylvain Lobry
Diego Marcos
J. Murray
D. Tuia
343
301
0
16 Mar 2020
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 BenchmarkIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2019
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
349
1,806
0
31 Aug 2019
Fully Convolutional Siamese Networks for Change Detection
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt
Bertrand Le Saux
Alexandre Boulch
247
1,428
0
19 Oct 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
383
2,601
0
28 Nov 2017
Functional Map of the World
Functional Map of the World
Gordon A. Christie
Neil Fendley
James Wilson
R. Mukherjee
VGen
333
475
0
21 Nov 2017
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
469
2,563
0
01 Mar 2017
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene
  Classification
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2016
Gui-Song Xia
Jingwen Hu
Fan Hu
Baoguang Shi
X. Bai
Yanfei Zhong
Liangpei Zhang
288
2,007
0
18 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
3.2K
89,120
0
18 May 2015
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