Qian, Z.[Zeheng],
Wu, W.[Wen],
Wu, X.T.[Xian-Tao],
Chen, X.D.[Xiao-Diao],
Omni-supervised shadow detection with vision foundation model,
JVCIR(100), 2024, pp. 104146.
Elsevier DOI Code:
WWW Link.
2405
Image segmentation, Shadow detection, Segment anything model,
Omni-supervised, Bipartite matching
BibRef
Wang, Y.H.[Yong-Hui],
Zhou, W.G.[Wen-Gang],
Mao, Y.[Yunyao],
Li, H.Q.[Hou-Qiang],
Detect Any Shadow: Segment Anything for Video Shadow Detection,
CirSysVideo(34), No. 5, May 2024, pp. 3782-3794.
IEEE DOI Code:
WWW Link.
2405
Task analysis, Feature extraction, Image segmentation,
Streaming media, Predictive models, Correlation, Transformers,
long short-term attention mechanism
BibRef
Wang, Y.Q.[Yu-Qing],
Zhao, Y.[Yun],
Petzold, L.[Linda],
An empirical study on the robustness of the segment anything model
(SAM),
PR(155), 2024, pp. 110685.
Elsevier DOI Code:
WWW Link.
2408
Evaluation, Segment Anything. Segment anything model, Model robustness, Prompting techniques
BibRef
Li, J.G.[Jia-Guang],
Wei, Y.[Ying],
Zhang, W.[Wei],
Shi, Z.R.[Zhen-Rui],
SAM-RSP: A new few-shot segmentation method based on segment anything
model and rough segmentation prompts,
IVC(150), 2024, pp. 105214.
Elsevier DOI Code:
WWW Link.
2409
Few-shot segmentation, Prompt learning, Prototype learning,
Segment anything model (SAM), Semantic segmentation
BibRef
Wang, Z.Q.[Zi-Quan],
Zhang, Y.S.[Yong-Sheng],
Zhang, Z.C.[Zhen-Chao],
Jiang, Z.P.[Zhi-Peng],
Yu, Y.[Ying],
Li, L.[Li],
Li, L.[Lei],
Exploring Semantic Prompts in the Segment Anything Model for Domain
Adaptation,
RS(16), No. 5, 2024, pp. 758.
DOI Link
2403
BibRef
Dong, W.H.[Wen-Hui],
Du, B.[Bo],
Xu, Y.C.[Yong-Chao],
Source domain prior-assisted segment anything model for single domain
generalization in medical image segmentation,
IVC(150), 2024, pp. 105216.
Elsevier DOI
2409
Medical image segmentation, Domain generalization,
Single domain generalization, Prior information, Segment anything model
BibRef
Xu, Y.S.[Yin-Song],
Tang, J.Q.[Jia-Qi],
Men, A.[Aidong],
Chen, Q.C.[Qing-Chao],
EviPrompt: A Training-Free Evidential Prompt Generation Method for
Adapting Segment Anything Model in Medical Images,
IP(33), 2024, pp. 6204-6215.
IEEE DOI Code:
WWW Link.
2411
Image segmentation, Uncertainty, Semantics,
Medical diagnostic imaging, Adaptation models, Training,
uncertainty
BibRef
Zhou, W.[Wei],
Guan, G.L.[Gui-Lin],
Cui, W.[Wei],
Yi, Y.[Yugen],
BiASAM: Bidirectional-Attention Guided Segment Anything Model for
Very Few-Shot Medical Image Segmentation,
SPLetters(32), 2025, pp. 246-250.
IEEE DOI
2501
Feature extraction, Image segmentation, Biomedical imaging,
Frequency-domain analysis, Optical losses, model generalization
BibRef
Ye, M.[Maoyuan],
Zhang, J.[Jing],
Liu, J.[Juhua],
Liu, C.Y.[Chen-Yu],
Yin, B.C.[Bao-Cai],
Liu, C.[Cong],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text
Segmentation,
PAMI(47), No. 3, March 2025, pp. 1431-1447.
IEEE DOI
2502
Layout, Image segmentation, Training, Decoding, Annotations,
Adaptation models, Text recognition, Visualization, Text detection,
unified model
BibRef
Zhang, Q.X.[Qi-Xiang],
Li, Y.[Yi],
Xue, C.[Cheng],
Wang, H.[Haonan],
Li, X.M.[Xiao-Meng],
GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model
for Label-Free Gland Segmentation,
MedImg(44), No. 2, February 2025, pp. 1070-1082.
IEEE DOI
2502
Glands, Image segmentation, Morphology, Proposals, Training,
Biomedical imaging, Visualization, Semantics,
segment anything model
BibRef
Yan, Q.S.[Qing-Sen],
Yang, K.Z.[Kang-Zhen],
Hu, T.[Tao],
Chen, G.G.[Geng-Geng],
Dai, K.[Kexin],
Wu, P.[Peng],
Ren, W.Q.[Wen-Qi],
Zhang, Y.N.[Yan-Ning],
From Dynamic to Static: Stepwisely Generate HDR Image for Ghost
Removal,
CirSysVideo(35), No. 2, February 2025, pp. 1409-1421.
IEEE DOI
2502
Feature extraction, Dynamics, Motion segmentation,
Image segmentation, Image reconstruction, Circuit faults,
segment anything model
BibRef
Wang, X.Z.[Xing-Zheng],
Wu, J.B.[Jian-Bin],
Wu, S.Y.[Shao-Yong],
Li, J.[Jiahui],
SAMNet: Adapting segment anything model for accurate light field
salient object detection,
IVC(154), 2025, pp. 105403.
Elsevier DOI
2502
Light field (LF), Salient object detection,
Segment anything model, Adapter, Feature fusion
BibRef
Wei, C.L.[Chen-Long],
Wu, X.F.[Xiao-Feng],
Wang, B.[Bin],
ASS-CD: Adapting Segment Anything Model and Swin-Transformer for
Change Detection in Remote Sensing Images,
RS(17), No. 3, 2025, pp. 369.
DOI Link
2502
BibRef
Zhang, J.[Jie],
Li, Y.X.[Yun-Xin],
Yang, X.B.[Xu-Bing],
Jiang, R.[Rui],
Zhang, L.[Li],
RSAM-Seg: A SAM-Based Model with Prior Knowledge Integration for
Remote Sensing Image Semantic Segmentation,
RS(17), No. 4, 2025, pp. 590.
DOI Link
2502
BibRef
Zhang, E.[Enkai],
Liu, J.J.[Jing-Jing],
Cao, A.[Anda],
Sun, Z.[Zhen],
Zhang, H.F.[Hao-Fei],
Wang, H.Q.[Hui-Qiong],
Sun, L.[Li],
Song, M.L.[Ming-Li],
RS-SAM: Integrating Multi-scale Information for Enhanced Remote Sensing
Image Segmentation,
ACCV24(VIII: 280-296).
Springer DOI
2412
BibRef
Cai, Z.[Zhi],
Gao, Y.J.[Ying-Jie],
Zheng, Y.[Yaoyan],
Zhou, N.[Nan],
Huang, D.[Di],
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded
Scenes,
ECCV24(LXIX: 334-351).
Springer DOI
2412
BibRef
Fu, J.H.[Jian-Hai],
Yu, Y.J.[Yuan-Jie],
Li, N.[Ningchuan],
Zhang, Y.[Yi],
Chen, Q.C.[Qi-Chao],
Xiong, J.P.[Jian-Ping],
Yin, J.[Jun],
Xiang, Z.Y.[Zhi-Yu],
LITE-SAM Is Actually What You Need for Segment Everything,
ECCV24(XXXIV: 456-471).
Springer DOI
2412
BibRef
Taherkhani, F.[Fariborz],
Kazemi, E.[Ehsan],
Instance-dependent Noise Refinement in Segment Anything Model for
Weakly Supervised Object Detection,
ACCV24(I: 347-367).
Springer DOI
2412
BibRef
Zhang, L.[Lan],
Zhu, X.[Xinshan],
He, D.[Di],
Liao, X.[Xin],
Sun, B.[Biao],
SAMIF: Adapting Segment Anything Model for Image Inpainting Forensics,
ACCV24(VII: 303-319).
Springer DOI
2412
BibRef
Wei, X.B.[Xiao-Bao],
Cao, J.J.[Jia-Jun],
Jin, Y.Z.[Yi-Zhu],
Lu, M.[Ming],
Wang, G.Y.[Guang-Yu],
Zhang, S.H.[Shang-Hang],
I-MEDSAM: Implicit Medical Image Segmentation with Segment Anything,
ECCV24(X: 90-107).
Springer DOI
2412
BibRef
Liu, X.Y.[Xiao-Yu],
Ding, X.[Xin],
Yu, L.[Lei],
Xi, Y.Y.[Yuan-Yuan],
Li, W.[Wei],
Tu, Z.J.[Zhi-Jun],
Hu, J.[Jie],
Chen, H.T.[Han-Ting],
Yin, B.Q.[Bao-Qun],
Xiong, Z.W.[Zhi-Wei],
PQ-SAM: Post-training Quantization for Segment Anything Model,
ECCV24(X: 420-437).
Springer DOI
2412
BibRef
Ye, M.Q.[Ming-Qiao],
Danelljan, M.[Martin],
Yu, F.[Fisher],
Ke, L.[Lei],
Gaussian Grouping: Segment and Edit Anything in 3d Scenes,
ECCV24(XXIX: 162-179).
Springer DOI
2412
BibRef
Li, F.[Feng],
Zhang, H.[Hao],
Sun, P.[Peize],
Zou, X.[Xueyan],
Liu, S.[Shilong],
Li, C.Y.[Chun-Yuan],
Yang, J.W.[Jian-Wei],
Zhang, L.[Lei],
Gao, J.F.[Jian-Feng],
Segment and Recognize Anything at Any Granularity,
ECCV24(XLVIII: 467-484).
Springer DOI
2412
BibRef
Khan, M.[Mariia],
Qiu, Y.[Yue],
Cong, Y.[Yuren],
Rosenhahn, B.[Bodo],
Abu-Khalaf, J.[Jumana],
Suter, D.[David],
Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning
Strategy For Multi-Class Multi-Instance Segmentation,
ICIP24(582-588)
IEEE DOI
2411
Training, Image segmentation, Adaptation models,
Semantic segmentation, Semantics, Object segmentation,
Indoor Scene Understanding
BibRef
Zhao, R.[Ruhao],
Zhong, X.[Xian],
Liao, L.[Liang],
Liu, W.X.[Wen-Xuan],
Huang, W.X.[Wen-Xin],
Wang, Z.[Zheng],
Localization of Image Splicing Under Segment Anything Model With
Integrated Compression and Edge Artifacts,
ICIP24(1323-1329)
IEEE DOI
2411
Location awareness, Image segmentation, Image coding,
Social networking (online), Image edge detection, Splicing,
Compression Artifacts
BibRef
Seon, J.[Juhyeong],
Im, W.B.[Woo-Bin],
Lee, S.[Sebin],
Lee, J.[Jumin],
Yoon, S.E.[Sung-Eui],
Extending Segment Anything Model into Auditory and Temporal
Dimensions for Audio-Visual Segmentation,
ICIP24(2480-2486)
IEEE DOI
2411
Image segmentation, Adaptation models, Video sequences,
Benchmark testing, Streaming media, Predictive models, Decoding,
audio-visual segmentation
BibRef
Shindo, T.[Takahiro],
Yamada, K.[Kein],
Watanabe, T.[Taiju],
Watanabe, H.[Hiroshi],
Image Coding For Machines With Edge Information Learning Using
Segment Anything,
ICIP24(3702-3708)
IEEE DOI Code:
WWW Link.
2411
Training, Privacy, Image segmentation, Image coding, Shape,
Image edge detection, Video compression, NeRV
BibRef
Zhang, Q.[Quan],
Liu, X.Y.[Xiao-Yu],
Li, W.[Wei],
Chen, H.T.[Han-Ting],
Liu, J.C.[Jun-Chao],
Hu, J.[Jie],
Xiong, Z.W.[Zhi-Wei],
Yuan, C.[Chun],
Wang, Y.H.[Yun-He],
Distilling Semantic Priors from SAM to Efficient Image Restoration
Models,
CVPR24(25409-25419)
IEEE DOI
2410
segment anything model.
Image segmentation, Fuses, Computational modeling, Semantics, Noise reduction,
Predictive models, image restoration, semantic-guided relation
BibRef
Li, S.Y.[Si-Yuan],
Ke, L.[Lei],
Danelljan, M.[Martin],
Piccinelli, L.[Luigi],
Segu, M.[Mattia],
Van Gool, L.J.[Luc J.],
Yu, F.[Fisher],
Matching Anything by Segmenting Anything,
CVPR24(18963-18973)
IEEE DOI
2410
Image segmentation, Adaptation models, Shape, Video sequences,
Object segmentation, Benchmark testing, Data models
BibRef
Zhang, Y.S.[Ye-Sheng],
Zhao, X.[Xu],
MESA: Matching Everything by Segmenting Anything,
CVPR24(20217-20226)
IEEE DOI
2410
Image segmentation, Graphical models, Accuracy, Redundancy,
Semantics, Pose estimation, feature matching
BibRef
Kweon, H.[Hyeokjun],
Yoon, K.J.[Kuk-Jin],
From SAM to CAMs: Exploring Segment Anything Model for Weakly
Supervised Semantic Segmentation,
CVPR24(19499-19509)
IEEE DOI Code:
WWW Link.
2410
Training, Semantic segmentation, Noise, Prototypes,
Benchmark testing, Feature extraction, Reliability engineering,
Weakly Supervised Semantic Segmentation
BibRef
Lin, J.H.[Jie-Hong],
Liu, L.H.[Li-Hua],
Lu, D.[Dekun],
Jia, K.[Kui],
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose
Estimation,
CVPR24(27906-27916)
IEEE DOI
2410
Instance segmentation, Geometry, Pose estimation, Semantics,
Benchmark testing, Zero-shot Learning
BibRef
Lv, C.T.[Cheng-Tao],
Chen, H.[Hong],
Guo, J.Y.[Jin-Yang],
Guo, J.Y.[Jin-Yang],
Guo, J.Y.[Jin-Yang],
Ding, Y.[Yifu],
Liu, X.L.[Xiang-Long],
Liu, X.L.[Xiang-Long],
Liu, X.L.[Xiang-Long],
PTQ4SAM: Post-Training Quantization for Segment Anything,
CVPR24(15941-15951)
IEEE DOI Code:
WWW Link.
2410
Instance segmentation, Adaptation models, Quantization (signal),
Computational modeling, Semantic segmentation, Transforms,
Post-Training Quantization
BibRef
Xiong, Y.[Yunyang],
Varadarajan, B.[Bala],
Wu, L.[Lemeng],
Xiang, X.Y.[Xiao-Yu],
Xiao, F.[Fanyi],
Zhu, C.C.[Chen-Chen],
Dai, X.L.[Xiao-Liang],
Wang, D.[Dilin],
Sun, F.[Fei],
Iandola, F.[Forrest],
Krishnamoorthi, R.[Raghuraman],
Chandra, V.[Vikas],
EfficientSAM: Leveraged Masked Image Pretraining for Efficient
Segment Anything,
CVPR24(16111-16121)
IEEE DOI
2410
Instance segmentation, Representation learning,
Image segmentation, Visualization, Computational modeling,
Vision Transformer
BibRef
Ren, S.[Simiao],
Luzi, F.[Francesco],
Lahrichi, S.[Saad],
Kassaw, K.[Kaleb],
Collins, L.M.[Leslie M.],
Bradbury, K.[Kyle],
Malof, J.M.[Jordan M.],
Segment anything, from space?,
WACV24(8340-8350)
IEEE DOI
2404
Instance segmentation, Image segmentation, Systematics,
Annotations, Target recognition, Roads, Benchmark testing,
Image recognition and understanding
BibRef
Huang, Y.[You],
Lan, Z.Y.[Zong-Yu],
Cao, L.J.[Liu-Juan],
Lin, X.M.[Xian-Ming],
Zhang, S.C.[Sheng-Chuan],
Jiang, G.[Guannan],
Ji, R.R.[Rong-Rong],
FocSAM: Delving Deeply into Focused Objects in Segmenting Anything,
CVPR24(3120-3130)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Codes, Pipelines, Stability analysis,
Real-time systems, Decoding, Segment Anything Model,
Dynamic ReLU
BibRef
Song, Y.[Yiran],
Zhou, Q.Y.[Qian-Yu],
Li, X.T.[Xiang-Tai],
Fan, D.P.[Deng-Ping],
Lu, X.Q.[Xue-Quan],
Ma, L.Z.[Li-Zhuang],
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model,
CVPR24(3162-3173)
IEEE DOI
2410
Degradation, Extrapolation, Image segmentation, Image resolution,
Computational modeling, Benchmark testing, Transformer
BibRef
Huang, D.J.[Duo-Jun],
Xiong, X.Y.[Xin-Yu],
Ma, J.[Jie],
Li, J.[Jichang],
Jie, Z.Q.[Ze-Qun],
Ma, L.[Lin],
Li, G.B.[Guan-Bin],
AlignSAM: Aligning Segment Anything Model to Open Context via
Reinforcement Learning,
CVPR24(3205-3215)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Visualization, Semantics, Training data,
Reinforcement learning, Predictive models, Linguistics,
Segment Anything Model (SAM)
BibRef
Li, B.[Bo],
Xiao, H.[Haoke],
Tang, L.[Lv],
ASAM: Boosting Segment Anything Model with Adversarial Tuning,
CVPR24(3699-3710)
IEEE DOI Code:
WWW Link.
2410
Training, Image segmentation, Photorealism, Computational modeling,
Perturbation methods, Benchmark testing
BibRef
Peng, Z.L.[Ze-Lin],
Xu, Z.Q.[Zheng-Qin],
Zeng, Z.L.[Zhi-Lin],
Xie, L.X.[Ling-Xi],
Tian, Q.[Qi],
Shen, W.[Wei],
Parameter Efficient Fine-Tuning via Cross Block Orchestration for
Segment Anything Model,
CVPR24(3743-3752)
IEEE DOI
2410
Adaptation models, Image segmentation, Head,
Computational modeling, Hidden Markov models, Training data
BibRef
Chen, W.[WeiTing],
Vong, Y.J.[Yu-Jiet],
Kuo, S.Y.[Sy-Yen],
Ma, S.[Sizhuo],
Wang, J.[Jian],
RobustSAM: Segment Anything Robustly on Degraded Images,
CVPR24(4081-4091)
IEEE DOI
2410
Degradation, Image segmentation, Computational modeling,
Laboratories, Robustness, Segment Anything, Segmentation
BibRef
Deng, X.L.[Xiao-Long],
Wu, H.[Huisi],
Zeng, R.[Runhao],
Qin, J.[Jing],
MemSAM: Taming Segment Anything Model for Echocardiography Video
Segmentation,
CVPR24(9622-9631)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Adaptation models, Ultrasonic imaging,
Echocardiography, Annotations, Noise
BibRef
Yuan, S.[Shuai],
Luo, L.[Lei],
Hui, Z.[Zhuo],
Pu, C.[Can],
Xiang, X.Y.[Xiao-Yu],
Ranjan, R.[Rakesh],
Demandolx, D.[Denis],
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model,
CVPR24(19027-19037)
IEEE DOI
2410
Optical losses, Adaptation models, Correlation,
Computational modeling, Motion segmentation, Semantics, motion tracking
BibRef
Wei, X.B.[Xiao-Bao],
Zhang, R.R.[Ren-Rui],
Wu, J.R.[Jia-Rui],
Liu, J.[JiaMing],
Lu, M.[Ming],
Guo, Y.D.[Yan-Dong],
Zhang, S.H.[Shang-Hang],
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything,
CVPR24(20352-20362)
IEEE DOI Code:
WWW Link.
2410
Image segmentation, Solid modeling, Feathers, Interference,
Reconstruction algorithms,
Segment Anything
BibRef
Lu, J.H.[Jia-Hao],
Yang, X.Y.[Xing-Yi],
Wang, X.C.[Xin-Chao],
Unsegment Anything by Simulating Deformation,
CVPR24(24294-24304)
IEEE DOI Code:
WWW Link.
2410
Manifolds, Image segmentation, Privacy, Deformation,
Perturbation methods, Noise, Copyright protection,
copyright and privacy protection
BibRef
Shen, Y.F.[Yi-Fan],
Li, Z.Y.[Zheng-Yuan],
Wang, G.[Gang],
Practical Region-level Attack against Segment Anything Models,
FaDE-TCV24(194-203)
IEEE DOI
2410
Threat modeling, Image segmentation, Computational modeling,
Closed box, Robustness, Segment-anything, adversarial attack
BibRef
Quesada, J.[Jorge],
Alotaibi, M.[Mohammad],
Prabhushankar, M.[Mohit],
AlRegib, G.[Ghassan],
PointPrompt: A Multi-modal Prompting Dataset for Segment Anything
Model,
Prompting24(1604-1610)
IEEE DOI Code:
WWW Link.
2410
Bridges, Image segmentation, Computational modeling,
Neural networks, Dynamic scheduling, foundation models,
zero-shot transfer learning
BibRef
Jankowski, K.[Krzysztof],
Sobieski, B.[Bartlomiej],
Kwiatkowski, M.[Mateusz],
Szulc, J.[Jakub],
Janik, M.[Michal],
Baniecki, H.[Hubert],
Biecek, P.[Przemyslaw],
Red-Teaming Segment Anything Model,
AML24(2947-2956)
IEEE DOI
2410
Image segmentation, Analytical models, Privacy, Text recognition,
Computational modeling, Urban areas, Foundation Models,
Robustness
BibRef
Gaus, Y.F.A.[Yona Falinie A.],
Bhowmik, N.[Neelanjan],
Isaac-Medina, B.K.S.[Brian K. S.],
Breckon, T.P.[Toby P.],
Performance Evaluation of Segment Anything Model with Variational
Prompting for Application to Non-Visible Spectrum Imagery,
PBVS24(3142-3152)
IEEE DOI
2410
Image segmentation, Visualization, Infrared surveillance, Accuracy,
Annotations, Organic materials, Streaming media
BibRef
Schön, R.[Robin],
Lorenz, J.[Julian],
Ludwig, K.[Katja],
Lienhart, R.[Rainer],
Adapting the Segment Anything Model During Usage in Novel Situations,
LargeVM24(3616-3626)
IEEE DOI
2410
Measurement, Adaptation models, Image segmentation,
Computational modeling, Object segmentation, pseudo label
BibRef
Zhang, Z.[Zhuoyang],
Cai, H.[Han],
Han, S.[Song],
EfficientViT-SAM: Accelerated Segment Anything Model Without
Performance Loss,
LargeVM24(7859-7863)
IEEE DOI Code:
WWW Link.
2410
Training, Image segmentation, Codes, Computational modeling,
Graphics processing units
BibRef
Chen, T.R.[Tian-Run],
Zhu, L.[Lanyun],
Ding, C.T.[Chao-Tao],
Cao, R.L.[Run-Long],
Wang, Y.[Yan],
Zhang, S.Z.[Shang-Zhan],
Li, Z.J.[Ze-Jian],
Sun, L.Y.[Ling-Yun],
Zang, Y.[Ying],
Mao, P.[Papa],
SAM-Adapter: Adapting Segment Anything in Underperformed Scenes,
VCL23(3359-3367)
IEEE DOI Code:
WWW Link.
2401
BibRef
Kirillov, A.[Alexander],
Mintun, E.[Eric],
Ravi, N.[Nikhila],
Mao, H.Z.[Han-Zi],
Rolland, C.[Chloe],
Gustafson, L.[Laura],
Xiao, T.[Tete],
Whitehead, S.[Spencer],
Berg, A.C.[Alexander C.],
Lo, W.Y.[Wan-Yen],
Dollár, P.[Piotr],
Girshick, R.[Ross],
Segment Anything,
ICCV23(3992-4003)
IEEE DOI
WWW Link.
2401
Dataset, Segmentation.
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Panoptic Segmentation .