Zhang, H.,
Tian, Y.,
Wang, K.,
Zhang, W.,
Wang, F.,
Mask SSD: An Effective Single-Stage Approach to Object Instance
Segmentation,
IP(29), 2020, pp. 2078-2093.
IEEE DOI
2001
Object detection, instance segmentation, feedback features, single-shot detector
BibRef
Gao, N.Y.[Nai-Yu],
Shan, Y.H.[Yan-Hu],
Wang, Y.P.[Yu-Pei],
Zhao, X.[Xin],
Huang, K.Q.[Kai-Qi],
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid,
CirSysVideo(31), No. 2, February 2021, pp. 661-673.
IEEE DOI
2102
Semantics, Image segmentation, Training, Proposals, Task analysis,
Automation, Predictive models, Instance segmentation,
graph partition
BibRef
Gao, N.Y.[Nai-Yu],
Shan, Y.H.[Yan-Hu],
Wang, Y.P.[Yu-Pei],
Zhao, X.[Xin],
Yu, Y.N.[Yi-Nan],
Yang, M.[Ming],
Huang, K.Q.[Kai-Qi],
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid,
ICCV19(642-651)
IEEE DOI
2004
graph theory, image segmentation, learning (artificial intelligence),
Acceleration
BibRef
Zhu, L.C.[Lin-Chao],
Fan, H.H.[He-He],
Luo, Y.W.[Ya-Wei],
Xu, M.L.[Ming-Liang],
Yang, Y.[Yi],
Few-Shot Common-Object Reasoning Using Common-Centric Localization
Network,
IP(30), 2021, pp. 4253-4262.
IEEE DOI
2104
Feature extraction, Object detection, Task analysis,
Location awareness, Annotations, Cognition, Proposals,
object detection
BibRef
Xie, E.[Enze],
Wang, W.H.[Wen-Hai],
Ding, M.Y.[Ming-Yu],
Zhang, R.M.[Rui-Mao],
Luo, P.[Ping],
PolarMask++: Enhanced Polar Representation for Single-Shot Instance
Segmentation and Beyond,
PAMI(44), No. 9, September 2022, pp. 5385-5400.
IEEE DOI
2208
Pipelines, Image segmentation, Object detection,
Feature extraction, Detectors, Tensors, Proposals,
fully convolutional network
BibRef
Xie, E.,
Sun, P.,
Song, X.,
Wang, W.,
Liu, X.,
Liang, D.,
Shen, C.,
Luo, P.,
PolarMask: Single Shot Instance Segmentation With Polar
Representation,
CVPR20(12190-12199)
IEEE DOI
2008
Image segmentation, Task analysis, Training, Detectors,
Complexity theory, Pipelines, Feature extraction
BibRef
Qi, L.[Lu],
Kuen, J.[Jason],
Wang, Y.[Yi],
Gu, J.X.[Jiu-Xiang],
Zhao, H.S.[Heng-Shuang],
Torr, P.H.S.[Philip H.S.],
Lin, Z.[Zhe],
Jia, J.Y.[Jia-Ya],
Open World Entity Segmentation,
PAMI(45), No. 7, July 2023, pp. 8743-8756.
IEEE DOI
2306
Image segmentation, Task analysis, Training, Object detection,
Visualization, Standards, Semantics, Image segmentation,
cross-dataset
BibRef
Huynh, D.[Dat],
Kuen, J.[Jason],
Lin, Z.[Zhe],
Gu, J.X.[Jiu-Xiang],
Elhamifar, E.[Ehsan],
Open-Vocabulary Instance Segmentation via Robust Cross-Modal
Pseudo-Labeling,
CVPR22(7010-7021)
IEEE DOI
2210
Training, Image segmentation, Visualization, Annotations, Semantics,
Transfer/low-shot/long-tail learning,
grouping and shape analysis
BibRef
Ye-Bin, M.[Moon],
Choi, D.[Dongmin],
Kwon, Y.J.[Yong-Jin],
Kim, J.[Junsik],
Oh, T.H.[Tae-Hyun],
ENInst: Enhancing weakly-supervised low-shot instance segmentation,
PR(145), 2024, pp. 109888.
Elsevier DOI
2311
Low-shot learning, Weakly-supervised learning,
Instance segmentation, Sub-task analysis, Enhancement methods
BibRef
Tang, K.T.[Kang-Ting],
Wang, S.J.[Shan-Jie],
Chen, Y.[Yadang],
Cross Modulation and Region Contrast Learning Network for Few-Shot
Medical Image Segmentation,
SPLetters(31), 2024, pp. 1670-1674.
IEEE DOI
2407
Prototypes, Image segmentation, Modulation, Biomedical imaging,
Magnetic resonance imaging, Computed tomography,
few-shot segmentation of medical images
BibRef
Jin, H.L.[Hai-Long],
Li, H.Y.[Hui-Ying],
An enhanced approach for few-shot segmentation via smooth
downsampling mask and label smoothing loss,
IVC(148), 2024, pp. 105113.
Elsevier DOI
2407
Few-shot segmentation, Segmentation, Few-shot learning, Deep learning
BibRef
Wen, C.L.[Chun-Lin],
Huang, H.[Hui],
Ma, Y.[Yan],
Yuan, F.N.[Fei-Niu],
Zhu, H.Q.[Hong-Qing],
Dual-Guided Frequency Prototype Network for Few-Shot Semantic
Segmentation,
MultMed(26), 2024, pp. 8874-8888.
IEEE DOI
2408
Prototypes, Feature extraction, Frequency-domain analysis,
Semantic segmentation, Task analysis, Predictive models, Training,
dual-guidance
BibRef
Kim, K.[Kwanyoung],
Oh, Y.J.[Yu-Jin],
Ye, J.C.[Jong Chul],
Otseg: Multi-prompt Sinkhorn Attention for Zero-shot Semantic
Segmentation,
ECCV24(LXXVII: 200-217).
Springer DOI
2412
BibRef
Gao, W.X.[Wei-Xiang],
Shi, C.[Caijuan],
Wang, R.[Rui],
Cai, A.[Ao],
Duan, C.Y.[Chang-Yu],
Liu, M.Q.[Mei-Qin],
Incremental few-shot instance segmentation via feature enhancement
and prototype calibration,
CVIU(253), 2025, pp. 104317.
Elsevier DOI
2503
Few-shot learning, Incremental learning, Instance segmentation,
Feature enhancement, Prototype calibration
BibRef
Zhang, L.F.[Luo-Feng],
Weng, L.[Libo],
Zhang, Y.M.[Yuan-Ming],
Gao, F.[Fei],
Incremental few-shot instance segmentation without fine-tuning on
novel classes,
CVIU(254), 2025, pp. 104323.
Elsevier DOI
2503
Incremental, Few-shot, Instance segmentation, Finetune-free
BibRef
Chang, S.J.[Shi-Jie],
Pang, Y.[Youwei],
Zhao, X.Q.[Xiao-Qi],
Lu, H.C.[Hu-Chuan],
Zhang, L.[Lihe],
Beyond mask: Rethinking guidance types in few-shot segmentation,
PR(165), 2025, pp. 111635.
Elsevier DOI
2505
Few-shot segmentation, Guidance types, Universal vision-language framework
BibRef
Nandam, S.R.[Srinivasa Rao],
Atito, S.[Sara],
Feng, Z.H.[Zhen-Hua],
Kittler, J.V.[Josef V.],
Awais, M.[Muhammad],
Text Augmented Correlation Transformer For Few-shot Classification &
Segmentation,
CVPR25(25357-25366)
IEEE DOI
2508
Visualization, Image segmentation, Correlation, Foundation models,
Semantics, Benchmark testing, Transformers, Data models, Few shot learning
BibRef
Zhu, L.[Lanyun],
Chen, T.R.[Tian-Run],
Ji, D.[Deyi],
Xu, P.[Peng],
Ye, J.P.[Jie-Ping],
Liu, J.[Jun],
LLaFS++: Few-Shot Image Segmentation With Large Language Models,
PAMI(47), No. 9, September 2025, pp. 7715-7732.
IEEE DOI
2508
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
LLaFS: When Large Language Models Meet Few-Shot Segmentation,
CVPR24(3065-3075)
IEEE DOI
2410
Image segmentation, Feature extraction, Large language models,
Data mining, Training, Prototypes, Few shot learning, Transformers,
large language models.
Training, Visualizatione, Natural language processing,
Large vision-language models
BibRef
Yu, Y.[Yi],
Ren, B.T.[Bo-Tao],
Zhang, P.[Peiyuan],
Liu, M.X.[Ming-Xin],
Luo, J.W.[Jun-Wei],
Zhang, S.F.[Shao-Feng],
Da, F.P.[Fei-Peng],
Yan, J.C.[Jun-Chi],
Yang, X.[Xue],
Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection
with Spatial Layout Among Instances,
CVPR25(19283-19293)
IEEE DOI
2508
Lower bound, Upper bound, Image edge detection, Layout, Detectors,
Watersheds, Object detection, Gaussian distribution
BibRef
Ge, J.N.[Jian-Nan],
Xie, L.X.[Ling-Xi],
Xie, H.T.[Hong-Tao],
Li, P.D.[Pan-Deng],
Zhang, X.P.[Xiao-Peng],
Zhang, Y.D.[Yong-Dong],
Tian, Q.[Qi],
Alignzeg: Mitigating Objective Misalignment for Zero-shot Semantic
Segmentation,
ECCV24(XLIII: 142-161).
Springer DOI
2412
BibRef
Huang, Z.N.[Zhe-Ning],
Wu, X.Y.[Xiao-Yang],
Chen, X.[Xi],
Zhao, H.S.[Heng-Shuang],
Zhu, L.[Lei],
Lasenby, J.[Joan],
OPENINS3D: Snap and Lookup for 3d Open-vocabulary Instance Segmentation,
ECCV24(LXII: 169-185).
Springer DOI
2412
BibRef
Li, Z.Y.[Zhao-Yang],
Wang, Y.[Yuan],
Li, W.[Wangkai],
Sun, R.[Rui],
Zhang, T.Z.[Tian-Zhu],
Localization and Expansion: A Decoupled Framework for Point Cloud
Few-shot Semantic Segmentation,
ECCV24(LXXIII: 18-34).
Springer DOI
2412
BibRef
Qiu, R.Z.[Ri-Zhao],
Wang, Y.X.[Yu-Xiong],
Hauser, K.[Kris],
Aligndiff: Aligning Diffusion Models for General Few-shot Segmentation,
ECCV24(XLI: 384-400).
Springer DOI
2412
BibRef
Jin, S.[Sheng],
Yao, R.J.[Rui-Jie],
Xu, L.[Lumin],
Liu, W.T.[Wen-Tao],
Qian, C.[Chen],
Wu, J.[Ji],
Luo, P.[Ping],
Unifs: Universal Few-shot Instance Perception with Point
Representations,
ECCV24(XXIX: 464-483).
Springer DOI
2412
BibRef
Wei, H.T.[Hai-Tao],
Liu, J.M.[Jian-Ming],
Chen, T.[Tong],
Qiu, W.L.[Wen-Long],
Tgcm: Cross-domain Few-shot Semantic Segmentation via One-shot Target
Guided Cutmix,
ACCV24(VII: 320-336).
Springer DOI
2412
BibRef
Xu, Q.X.[Qian-Xiong],
Lin, G.S.[Guo-Sheng],
Loy, C.C.[Chen Change],
Long, C.[Cheng],
Li, Z.Y.[Zi-Yue],
Zhao, R.[Rui],
Eliminating Feature Ambiguity for Few-shot Segmentation,
ECCV24(III: 416-433).
Springer DOI
2412
BibRef
Herzog, J.[Jonas],
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot
Segmentation,
CVPR24(23605-23615)
IEEE DOI Code:
WWW Link.
2410
Training, Image segmentation, Adaptation models, Limiting, Codes,
Few-Shot-Segmentation, Cross-Domain
BibRef
Zhu, L.[Lanyun],
Chen, T.R.[Tian-Run],
Yin, J.X.[Jian-Xiong],
See, S.[Simon],
Liu, J.[Jun],
Addressing Background Context Bias in Few-Shot Segmentation Through
Iterative Modulation,
CVPR24(3370-3379)
IEEE DOI
2410
Image segmentation, Noise, Prototypes, Modulation,
Feature extraction, Robustness, Few-shot segmentation
BibRef
Nie, J.H.[Jia-Hao],
Xing, Y.[Yun],
Zhang, G.J.[Gong-Jie],
Yan, P.[Pei],
Xiao, A.[Aoran],
Tan, Y.P.[Yap-Peng],
Kot, A.C.[Alex C.],
Lu, S.J.[Shi-Jian],
Cross-Domain Few-Shot Segmentation via Iterative Support-Query
Correspondence Mining,
CVPR24(3380-3390)
IEEE DOI Code:
WWW Link.
2410
Codes, Bidirectional control, Iterative methods, Data mining
BibRef
Shin, G.[Gyungin],
Albanie, S.[Samuel],
Xie, W.[Weidi],
Zero-shot Unsupervised Transfer Instance Segmentation,
L3D-IVU23(4848-4858)
IEEE DOI
2309
BibRef
He, S.T.[Shu-Ting],
Ding, H.H.[Heng-Hui],
Jiang, W.[Wei],
Semantic-Promoted Debiasing and Background Disambiguation for
Zero-Shot Instance Segmentation,
CVPR23(19498-19507)
IEEE DOI
2309
BibRef
Hsieh, H.Y.[He-Yen],
Chen, D.J.[Ding-Jie],
Chang, C.W.[Cheng-Wei],
Liu, T.L.[Tyng-Luh],
Aggregating Bilateral Attention for Few-Shot Instance Localization,
WACV23(6314-6323)
IEEE DOI
2302
Location awareness, Filtering, Computational modeling,
Neural networks, Focusing, Context awareness, Object detection
BibRef
Wolny, A.[Adrian],
Yu, Q.[Qin],
Pape, C.[Constantin],
Kreshuk, A.[Anna],
Sparse Object-level Supervision for Instance Segmentation with Pixel
Embeddings,
CVPR22(4392-4401)
IEEE DOI
2210
Training, Image segmentation, Annotations, Transfer learning,
Semantics, Training data, Segmentation,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Nguyen, K.[Khoi],
Todorovic, S.[Sinisa],
iFS-RCNN: An Incremental Few-shot Instance Segmenter,
CVPR22(7000-7009)
IEEE DOI
2210
Training, Measurement, Uncertainty, Shape, Performance gain,
Transfer/low-shot/long-tail learning,
grouping and shape analysis
BibRef
Ganea, D.A.[Dan Andrei],
Boom, B.[Bas],
Poppe, R.[Ronald],
Incremental Few-Shot Instance Segmentation,
CVPR21(1185-1194)
IEEE DOI
2111
Location awareness, Training, Image segmentation,
Memory management, Training data, Transfer functions
BibRef
Zheng, Y.[Ye],
Wu, J.H.[Jia-Hong],
Qin, Y.Q.[Yong-Qiang],
Zhang, F.[Faen],
Cui, L.[Li],
Zero-Shot Instance Segmentation,
CVPR21(2593-2602)
IEEE DOI
2111
Training, Head, Protocols, Semantics, Detectors, Benchmark testing, Solids
BibRef
Fan, Z.,
Yu, J.,
Liang, Z.,
Ou, J.,
Gao, C.,
Xia, G.,
Li, Y.,
FGN: Fully Guided Network for Few-Shot Instance Segmentation,
CVPR20(9169-9178)
IEEE DOI
2008
Task analysis, Image segmentation, Semantics, Training, Detectors,
Proposals, Adaptation models
BibRef
Wang, Y.Q.[Yu-Qing],
Xu, Z.L.[Zhao-Liang],
Shen, H.[Hao],
Cheng, B.S.[Bao-Shan],
Yang, L.R.[Li-Rong],
CenterMask: Single Shot Instance Segmentation With Point
Representation,
CVPR20(9310-9318)
IEEE DOI
2008
Shape, Image segmentation, Head, Feature extraction, Detectors,
Visualization
BibRef
Zhang, R.,
Tian, Z.,
Shen, C.,
You, M.,
Yan, Y.,
Mask Encoding for Single Shot Instance Segmentation,
CVPR20(10223-10232)
IEEE DOI
2008
Encoding, Task analysis, Detectors, Feature extraction, Pipelines,
Principal component analysis, Training
BibRef
Li, Z.X.[Zuo-Xin],
Zhou, F.Q.[Fu-Qiang],
Yang, L.[Lu],
Fast Single Shot Instance Segmentation,
ACCV18(IV:257-272).
Springer DOI
1906
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Counting Instances, Counting Objects .