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Segment Anything

Segment Anything

5 April 2023
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
Laura Gustafson
Tete Xiao
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
    MLLM
    VLM
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Papers citing "Segment Anything"

50 / 4,186 papers shown
Title
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial
  Examples
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Chenshuang Zhang
Chaoning Zhang
Taegoo Kang
Donghun Kim
Sung-Ho Bae
In So Kweon
AAML
VLM
44
3
0
01 May 2023
Polyp-SAM: Transfer SAM for Polyp Segmentation
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li
Mingzhe Hu
Xiaofeng Yang
MedIm
156
82
0
29 Apr 2023
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects
  Cannot Be Easily Detected
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
Dongsheng Han
Chaoning Zhang
Yu Qiao
Maryam Qamar
Yuna Jung
Seungkyu Lee
Sung-Ho Bae
Choong Seon Hong
VLM
79
36
0
29 Apr 2023
Event-Free Moving Object Segmentation from Moving Ego Vehicle
Event-Free Moving Object Segmentation from Moving Ego Vehicle
Zhuyun Zhou
Zongwei Wu
Danda Pani Paudel
Rémi Boutteau
Fan Yang
Luc Van Gool
Radu Timofte
D. Ginhac
28
7
0
28 Apr 2023
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical
  imaging: A comprehensive evaluation and practical guidelines
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines
C. M. Oliveira
L. V. Moura
R. Ravazio
L. S. Kupssinskü
Otávio Parraga
Marcelo Mussi Delucis
Rodrigo C. Barros
VLM
MedIm
76
26
0
28 Apr 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
D. Cheng
Ziyuan Qin
Zekun Jiang
Shaoting Zhang
Qicheng Lao
Kang Li
MedIm
VLM
19
103
0
28 Apr 2023
Interpreting Vision and Language Generative Models with Semantic Visual
  Priors
Interpreting Vision and Language Generative Models with Semantic Visual Priors
Michele Cafagna
L. Rojas-Barahona
Kees van Deemter
Albert Gatt
FAtt
VLM
17
1
0
28 Apr 2023
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
An-Chi Wang
Mobarakol Islam
Mengya Xu
Yang Zhang
Hongliang Ren
AAML
VLM
79
36
0
28 Apr 2023
Neural Implicit Dense Semantic SLAM
Neural Implicit Dense Semantic SLAM
Yasaman Haghighi
Suryansh Kumar
Jean-Philippe Thiran
Luc Van Gool
41
22
0
27 Apr 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using
  Comprehensive Supervisions and Self-training
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
J. Wang
G. Chabin
I. Oguz
Sasa Grbic
38
17
0
27 Apr 2023
Edit Everything: A Text-Guided Generative System for Images Editing
Edit Everything: A Text-Guided Generative System for Images Editing
Defeng Xie
Ruichen Wang
Jiancang Ma
Chen Chen
H. Lu
D. Yang
Fobo Shi
Xiaodong Lin
DiffM
82
31
0
27 Apr 2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu
Yuheng Li
Xiaofeng Yang
VLM
147
51
0
27 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
103
287
0
26 Apr 2023
The Potential of Visual ChatGPT For Remote Sensing
The Potential of Visual ChatGPT For Remote Sensing
L. Osco
Eduardo Lopes de Lemos
W. Gonçalves
A. P. Ramos
J. M. Junior
25
30
0
25 Apr 2023
Segment anything, from space?
Segment anything, from space?
Simiao Ren
Francesco Luzi
Saad Lahrichi
Kaleb Kassaw
L. Collins
Kyle Bradbury
Jordan M. Malof
VLM
24
43
0
25 Apr 2023
Generalist Vision Foundation Models for Medical Imaging: A Case Study of
  Segment Anything Model on Zero-Shot Medical Segmentation
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation
Peilun Shi
Jianing Qiu
Sai Mu Dalike Abaxi
Hao Wei
Frank P.-W. Lo
Wu Yuan
LM&MA
VLM
MedIm
18
96
0
25 Apr 2023
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image
  Segmentation
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu
Rao Fu
Yuanpei Liu
Huihui Fang
Zhao-Yang Wang
Yanwu Xu
Yueming Jin
VLM
MedIm
39
465
0
25 Apr 2023
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer
  and Multi-scale MLP for Medical Image Segmentation
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation
Lei Shi
Tianyu Gao
Zheng-Wei Zhang
Junxing Zhang
ViT
MedIm
12
7
0
25 Apr 2023
Application of Segment Anything Model for Civil Infrastructure Defect
  Assessment
Application of Segment Anything Model for Civil Infrastructure Defect Assessment
Mohsen Ahmadi
Ahmad Gholizadeh Lonbar
Abbas Sharifi
Ali Tarlani Beris
M. Nouri
A. Javidi
13
39
0
25 Apr 2023
Segment Anything in 3D with Radiance Fields
Segment Anything in 3D with Radiance Fields
Jiazhong Cen
Jiemin Fang
Zanwei Zhou
Chen Yang
Lingxi Xie
Xiaopeng Zhang
Wei-Ming Shen
Qi Tian
41
43
0
24 Apr 2023
Segment Anything in Medical Images
Segment Anything in Medical Images
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedIm
VLM
43
453
0
24 Apr 2023
Track Anything: Segment Anything Meets Videos
Track Anything: Segment Anything Meets Videos
Jinyu Yang
Mingqi Gao
Zhe Li
Shanghua Gao
Fang Wang
Fengcai Zheng
VOS
11
218
0
24 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Yongcheng Jing
Xinchao Wang
Dacheng Tao
48
21
0
23 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive
  Physics under Challenging Scenes
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue
Antonio Torralba
J. Tenenbaum
Daniel L. K. Yamins
Yunzhu Li
H. Tung
PINN
VGen
AI4CE
61
8
0
22 Apr 2023
Input Augmentation with SAM: Boosting Medical Image Segmentation with
  Segmentation Foundation Model
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
Yizhe Zhang
Tao Zhou
Shuo Wang
Peixian Liang
Da Chen
MedIm
VLM
36
80
0
22 Apr 2023
Advances in Deep Concealed Scene Understanding
Advances in Deep Concealed Scene Understanding
Deng-Ping Fan
Ge-Peng Ji
Peng-Tao Xu
Ming-Ming Cheng
Christos Sakaridis
Luc Van Gool
35
69
0
21 Apr 2023
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical
  Volumetric Segmentation
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen
Wenxuan Wang
Chen Chen
Jianbo Jiao
Jing Liu
Yan Zhang
Shanshan Song
Jiangyun Li
43
1
0
21 Apr 2023
Can SAM Count Anything? An Empirical Study on SAM Counting
Can SAM Count Anything? An Empirical Study on SAM Counting
Zhiheng Ma
Xiaopeng Hong
Qinnan Shangguan
VLM
30
18
0
21 Apr 2023
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided
  Visual Foundation Models
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
Jielu Zhang
Zhongliang Zhou
Gengchen Mai
Lan Mu
Mengxuan Hu
Sheng Li
VLM
31
46
0
20 Apr 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
N. Konz
Yixin Zhang
MedIm
VLM
28
474
0
20 Apr 2023
Transformer-Based Visual Segmentation: A Survey
Transformer-Based Visual Segmentation: A Survey
Xiangtai Li
Henghui Ding
Haobo Yuan
Wenwei Zhang
Jiangmiao Pang
Guangliang Cheng
Kai-xiang Chen
Ziwei Liu
Chen Change Loy
ViT
MedIm
42
132
0
19 Apr 2023
Event-based Simultaneous Localization and Mapping: A Comprehensive
  Survey
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
Kunping Huang
Sen Zhang
Jing Zhang
Dacheng Tao
37
27
0
19 Apr 2023
Boosting Semantic Segmentation with Semantic Boundaries
Boosting Semantic Segmentation with Semantic Boundaries
Haruya Ishikawa
Y. Aoki
21
4
0
19 Apr 2023
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical
  Images: Accuracy in 12 Datasets
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
Sheng He
Rina Bao
Jingpeng Li
J. Stout
A. Bjørnerud
P. E. Grant
Yangming Ou
VLM
34
69
0
18 Apr 2023
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in
  Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and
  More
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
Tianrun Chen
Lanyun Zhu
Chao Ding
Runlong Cao
Yan Wang
Z. Li
Lingyun Sun
Papa Mao
Ying Zang
VLM
43
52
0
18 Apr 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDa
VLM
MLLM
115
4,293
0
17 Apr 2023
When SAM Meets Medical Images: An Investigation of Segment Anything
  Model (SAM) on Multi-phase Liver Tumor Segmentation
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
Chuanfei Hu
Tianyi Xia
Shenghong Ju
Xinde Li
MedIm
VLM
16
73
0
17 Apr 2023
Deep learning universal crater detection using Segment Anything Model
  (SAM)
Deep learning universal crater detection using Segment Anything Model (SAM)
I. Giannakis
A. Bhardwaj
L. Sam
Georgios Leontidis
15
20
0
16 Apr 2023
Can SAM Segment Polyps?
Can SAM Segment Polyps?
Tao Zhou
Yizhe Zhang
Yi Zhou
Ye Wu
Chen Gong
MedIm
32
64
0
15 Apr 2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Inpaint Anything: Segment Anything Meets Image Inpainting
Tao Yu
Runsen Feng
Ruoyu Feng
Jinming Liu
Xin Jin
Wenjun Zeng
Zhibo Chen
DiffM
42
213
0
13 Apr 2023
Expressive Text-to-Image Generation with Rich Text
Expressive Text-to-Image Generation with Rich Text
Songwei Ge
Taesung Park
Jun-Yan Zhu
Jia-Bin Huang
DiffM
79
79
0
13 Apr 2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models
  Empowered by Large-Scale Supervised Pre-training
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Ziyan Huang
Hao Wang
Zhongying Deng
Jin Ye
Yanzhou Su
...
Junjun He
Yun Gu
Lixu Gu
Shaoting Zhang
Yu Qiao
21
74
0
13 Apr 2023
SAM Struggles in Concealed Scenes -- Empirical Study on "Segment
  Anything"
SAM Struggles in Concealed Scenes -- Empirical Study on "Segment Anything"
Ge-Peng Ji
Deng-Ping Fan
Peng-Tao Xu
Ming-Ming Cheng
Bowen Zhou
Luc Van Gool
26
96
0
12 Apr 2023
Segment Anything Is Not Always Perfect: An Investigation of SAM on
  Different Real-world Applications
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Wei Ji
Jingjing Li
Qi Bi
Tingwei Liu
Wenbo Li
Li Cheng
LLMAG
VLM
AI4TS
37
181
0
12 Apr 2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Yihao Liu
Jiaming Zhang
Zhangcong She
Amir Kheradmand
Mehran Armand
VLM
16
40
0
12 Apr 2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment
  Anything Model
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Saikat Roy
Tassilo Wald
Gregor Koehler
Maximilian R. Rokuss
Nico Disch
Julius Holzschuh
David Zimmerer
Klaus H. Maier-Hein
MedIm
VLM
29
95
0
10 Apr 2023
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of
  Magnetic Resonance Images using Deep Learning
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
Sovesh Mohapatra
Advait Gosai
G. Schlaug
20
32
0
10 Apr 2023
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Lv Tang
Haoke Xiao
Bo Li
29
112
0
10 Apr 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot
  Segmentation on Whole Slide Imaging
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng
C. Cui
Quan Liu
Tianyuan Yao
Lucas W. Remedios
...
Shilin Zhao
Agnes B. Fogo
Haichun Yang
Yucheng Tang
Yuankai Huo
VLM
MedIm
23
200
0
09 Apr 2023
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content
  (AIGC) in Wireless Networks
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
Hongyang Du
Ruichen Zhang
Fellow Ieee Dusit Niyato
Jiawen Kang
Zehui Xiong
Fellow Ieee Dong In Kim
Fellow Ieee Sherman Shen
X. Shen
L. F. I. H. Vincent Poor
DiffM
68
75
0
07 Apr 2023
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