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Segment anything, from space?

Segment anything, from space?

25 April 2023
Simiao Ren
Francesco Luzi
Saad Lahrichi
Kaleb Kassaw
L. Collins
Kyle Bradbury
Jordan M. Malof
    VLM
ArXivPDFHTML

Papers citing "Segment anything, from space?"

8 / 8 papers shown
Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
T. Kaiser
Thomas Norrenbrock
Bodo Rosenhahn
42
0
0
08 May 2025
Transferable Adversarial Attacks on SAM and Its Downstream Models
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
43
6
0
26 Oct 2024
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object
  and Boundary Constraints
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Xianping Ma
Qianqian Wu
Xingyu Zhao
Xiaokang Zhang
Man-On Pun
Bo Huang
29
41
0
05 Dec 2023
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring
  Video Object Segmentation
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Yonglin Li
Jing Zhang
Xiao Teng
Long Lan
VOS
VLM
16
16
0
03 Jul 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Chunhui Zhang
Li Liu
Yawen Cui
Guanjie Huang
Weilin Lin
Yiqian Yang
Yuehong Hu
VLM
32
89
0
14 May 2023
Transformers For Recognition In Overhead Imagery: A Reality Check
Transformers For Recognition In Overhead Imagery: A Reality Check
Francesco Luzi
Aneesh Gupta
L. Collins
Kyle Bradbury
Jordan M. Malof
ViT
16
4
0
23 Oct 2022
SustainBench: Benchmarks for Monitoring the Sustainable Development
  Goals with Machine Learning
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Christopher Yeh
Chenlin Meng
Sherrie Wang
Anne Driscoll
Erik Rozi
Patrick Liu
Jihyeon Janel Lee
Marshall Burke
David B. Lobell
Stefano Ermon
59
55
0
08 Nov 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
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