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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

12 April 2023
Wei Ji
Jingjing Li
Qi Bi
Tingwei Liu
Wenbo Li
Li Cheng
    LLMAG
    VLM
    AI4TS
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Papers citing "Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications"

50 / 86 papers shown
Title
Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Tristan Piater
Björn Barz
Alexander Freytag
VLM
MedIm
55
0
0
23 Apr 2025
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Oliver Mills
Philip G. Conaghan
Nishant Ravikumar
Samuel D. Relton
MedIm
23
0
0
17 Apr 2025
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
Bo Yin
Jiao-Long Cao
Ming-Ming Cheng
Qibin Hou
3DPC
MDE
48
0
0
07 Apr 2025
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Jiaming Liu
Linghe Kong
Guihai Chen
68
0
0
08 Mar 2025
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
Bin Xie
Hao Tang
Dawen Cai
Yan Yan
Gady Agam
MedIm
VLM
50
1
0
02 Feb 2025
Continual Learning for Segment Anything Model Adaptation
Continual Learning for Segment Anything Model Adaptation
Jinglong Yang
Yichen Wu
Jun Cen
Wenjian Huang
Hong Wang
Jianguo Zhang
TTA
CLL
83
0
0
09 Dec 2024
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data
Chika Maduabuchi
Ericmoore Jossou
Matteo Bucci
28
0
0
12 Nov 2024
VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
Chika Maduabuchi
Ericmoore Jossou
Matteo Bucci
36
1
0
22 Oct 2024
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in
  Open-world Environments
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments
Meng Yu
Luojie Yang
Xunjie He
Yi Yang
Yufeng Yue
VLM
23
0
0
09 Oct 2024
On Efficient Variants of Segment Anything Model: A Survey
On Efficient Variants of Segment Anything Model: A Survey
Xiaorui Sun
J. Liu
H. Shen
Xiaofeng Zhu
Ping Hu
VLM
43
4
0
07 Oct 2024
Leveraging Hallucinations to Reduce Manual Prompt Dependency in
  Promptable Segmentation
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
Jian Hu
Jiayi Lin
Junchi Yan
Shaogang Gong
VLM
39
7
0
27 Aug 2024
A Survey of Camouflaged Object Detection and Beyond
A Survey of Camouflaged Object Detection and Beyond
Fengyang Xiao
Sujie Hu
Yuqi Shen
Chengyu Fang
Jinfa Huang
Chunming He
Longxiang Tang
Ziyun Yang
Xiu Li
60
9
0
26 Aug 2024
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer
  Detection
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
Mobina Mansoori
Sajjad Shahabodini
J. Abouei
Konstantinos N. Plataniotis
Arash Mohammadi
MedIm
35
5
0
12 Aug 2024
Interactive 3D Medical Image Segmentation with SAM 2
Interactive 3D Medical Image Segmentation with SAM 2
Chuyun Shen
Wenhao Li
Yuhang Shi
Xiangfeng Wang
VLM
MedIm
28
13
0
05 Aug 2024
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic
  Segmentation
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
Jingjun Yi
Qi Bi
Hao Zheng
Haolan Zhan
Wei Ji
Yawen Huang
Yuexiang Li
Yefeng Zheng
34
8
0
26 Jul 2024
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation
  Models
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
Xin-Jian Wu
Rui-Song Zhang
Jie Qin
Shijie Ma
Cheng-Lin Liu
VLM
27
1
0
14 Jul 2024
CS3: Cascade SAM for Sperm Segmentation
CS3: Cascade SAM for Sperm Segmentation
Yi Shi
Xu-Peng Tian
Yun-Kai Wang
Tie-Yi Zhang
Bin Yao
Hui Wang
Yong Shao
Cen-Cen Wang
Rong Zeng
De-Chuan Zhan
32
0
0
04 Jul 2024
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model
Zongshuo Li
Ding Huo
M. Meurer
Thomas Bergs
31
0
0
01 Jul 2024
POPCat: Propagation of particles for complex annotation tasks
POPCat: Propagation of particles for complex annotation tasks
Adam Srebrnjak Yang
Dheeraj Khanna
John S. Zelek
29
0
0
24 Jun 2024
RobustSAM: Segment Anything Robustly on Degraded Images
RobustSAM: Segment Anything Robustly on Degraded Images
Wei-Ting Chen
Yu-Jiet Vong
Sy-Yen Kuo
Sizhuo Ma
Jian Wang
VLM
46
9
0
13 Jun 2024
Generative Active Learning for Long-tailed Instance Segmentation
Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu
Chengxiang Fan
Hao Chen
Y. Liu
Weian Mao
Xiaogang Xu
Chunhua Shen
40
5
0
04 Jun 2024
A Point-Neighborhood Learning Framework for Nasal Endoscope Image
  Segmentation
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
Pengyu Jie
Wanquan Liu
Chenqiang Gao
Yihui Wen
Rui He
Pengcheng Li
Jintao Zhang
Deyu Meng
16
0
0
30 May 2024
Spider: A Unified Framework for Context-dependent Concept Segmentation
Spider: A Unified Framework for Context-dependent Concept Segmentation
Xiaoqi Zhao
Youwei Pang
Wei Ji
Baicheng Sheng
Jiaming Zuo
Lihe Zhang
Huchuan Lu
34
6
0
02 May 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li
Haoke Xiao
Lv Tang
24
9
0
01 May 2024
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
Bin Xie
Hao Tang
Bin Duan
Dawen Cai
Yan Yan
Gady Agam
VLM
MedIm
23
0
0
21 Mar 2024
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy
  for Multi-Class Multi-Instance Segmentation
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation
Mariia Khan
Yue Qiu
Yuren Cong
Jumana Abu-Khalaf
David Suter
Bodo Rosenhahn
27
4
0
16 Mar 2024
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything
  Model
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
Aoran Xiao
Weihao Xuan
Heli Qi
Yun Xing
Ruijie Ren
Xiaoqin Zhang
Ling Shao
Shijian Lu
VLM
MLLM
35
10
0
06 Feb 2024
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment
  Anything Model
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
Zihan Zhong
Zhiqiang Tang
Tong He
Haoyang Fang
Chun Yuan
35
40
0
31 Jan 2024
SimAda: A Simple Unified Framework for Adapting Segment Anything Model
  in Underperformed Scenes
SimAda: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes
Yiran Song
Qianyu Zhou
Xuequan Lu
Zhiwen Shao
Lizhuang Ma
40
7
0
31 Jan 2024
3D Object Detection and High-Resolution Traffic Parameters Extraction
  Using Low-Resolution LiDAR Data
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data
Linlin Zhang
Xiang Yu
Armstrong Aboah
Y. Adu-Gyamfi
3DPC
26
0
0
13 Jan 2024
Segment Anything Model for Medical Image Segmentation: Current
  Applications and Future Directions
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
26
113
0
07 Jan 2024
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
Yiran Song
Qianyu Zhou
Xiangtai Li
Deng-Ping Fan
Xuequan Lu
Lizhuang Ma
VLM
30
14
0
04 Jan 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
27
4
0
11 Dec 2023
RepViT-SAM: Towards Real-Time Segmenting Anything
RepViT-SAM: Towards Real-Time Segmenting Anything
Ao Wang
Hui Chen
Zijia Lin
Jungong Han
Guiguang Ding
VLM
25
19
0
10 Dec 2023
VIoTGPT: Learning to Schedule Vision Tools towards Intelligent Video
  Internet of Things
VIoTGPT: Learning to Schedule Vision Tools towards Intelligent Video Internet of Things
Yaoyao Zhong
Mengshi Qi
Rui Wang
Yuhan Qiu
Yang Zhang
Huadong Ma
13
2
0
01 Dec 2023
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in
  Histopathological Images
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images
Aayushi Tyagi
Vaibhav Mishra
AP Prathosh
Mausam
VLM
40
1
0
29 Nov 2023
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
Jiehong Lin
Lihua Liu
Dekun Lu
Kui Jia
VLM
21
60
0
27 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan-Chia Cheng
Yuan Qi
MedIm
17
3
0
17 Nov 2023
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and
  Super-Resolution of MR Images
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images
Zhiyun Song
Zengxin Qi
Xin Wang
Xiangyu Zhao
Zhenrong Shen
...
Dongdong Chen
Linlin Yao
Qian Wang
Xuehai Wu
Lichi Zhang
MedIm
34
2
0
14 Nov 2023
EviPrompt: A Training-Free Evidential Prompt Generation Method for
  Segment Anything Model in Medical Images
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images
Yinsong Xu
Jiaqi Tang
Aidong Men
Qingchao Chen
VLM
MedIm
24
6
0
10 Nov 2023
Adapting Segment Anything Model (SAM) through Prompt-based Learning for
  Enhanced Protein Identification in Cryo-EM Micrographs
Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs
Fei He
Zhiyuan Yang
Mingyue Gao
Biplab Poudel
Newgin Sam Ebin Sam Dhas
Rajan Gyawali
Ashwin Dhakal
Jianlin Cheng
Dong Xu
11
4
0
04 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DV
CLL
28
9
0
22 Oct 2023
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
Xi Wei
Renrui Zhang
Jiarui Wu
Jiaming Liu
Ming Lu
Yandong Guo
Shanghang Zhang
22
4
0
22 Sep 2023
Efficient Long-Short Temporal Attention Network for Unsupervised Video
  Object Segmentation
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
P. Li
Yu Zhang
L. Yuan
Huaxin Xiao
Binbin Lin
Xianghua Xu
VOS
26
17
0
21 Sep 2023
SayNav: Grounding Large Language Models for Dynamic Planning to
  Navigation in New Environments
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
Abhinav Rajvanshi
Karan Sikka
Xiao Lin
Bhoram Lee
Han-Pang Chiu
Alvaro Velasquez
LM&Ro
LRM
LLMAG
6
50
0
08 Sep 2023
Adapting Segment Anything Model for Change Detection in HR Remote
  Sensing Images
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Lei Ding
Kun Zhu
Daifeng Peng
Hao Tang
Kuiwu Yang
Lorenzo Bruzzone
21
67
0
04 Sep 2023
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation
  with Meta-Learning
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
Yiming Zhang
Tianang Leng
Kun Han
Xiaohui Xie
28
18
0
31 Aug 2023
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT
SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT
Botond Fazekas
José Morano
Dmitrii Lachinov
Guilherme Aresta
Hrvoje Bogunović
MedIm
22
8
0
18 Aug 2023
Self-Prompting Large Vision Models for Few-Shot Medical Image
  Segmentation
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation
Qi Wu
Yuyao Zhang
Marawan Elbatel
VLM
MedIm
27
34
0
15 Aug 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Alexey Nekrasov
Alexander Hermans
L. Kuhnert
Bastian Leibe
24
11
0
03 Aug 2023
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