Wang, C.[Cheng],
Wang, G.[Guoli],
Zhang, Q.[Qian],
Guo, P.[Peng],
Liu, W.Y.[Wen-Yu],
Wang, X.G.[Xing-Gang],
OpenInst: A simple query-based method for open-world instance
segmentation,
PR(153), 2024, pp. 110570.
Elsevier DOI Code:
WWW Link.
2405
Open-world instance segmentation, Object localization network.
Query-based detector
BibRef
Dao, S.D.[Son Duy],
Shi, H.[Hengcan],
Phung, D.[Dinh],
Cai, J.F.[Jian-Fei],
Class Enhancement Losses With Pseudo Labels for Open-Vocabulary
Semantic Segmentation,
MultMed(26), 2024, pp. 8442-8453.
IEEE DOI
2408
Proposals, Training, Semantic segmentation, Annotations, Semantics,
Predictive models, Visualization,
zero-shot semantic segmentation
BibRef
Li, Z.H.[Zhi-Heng],
Zhong, Y.J.[Yu-Jie],
Song, R.[Ran],
Li, T.J.[Tian-Jiao],
Ma, L.[Lin],
Zhang, W.[Wei],
DeTAL: Open-Vocabulary Temporal Action Localization With Decoupled
Networks,
PAMI(46), No. 12, December 2024, pp. 7728-7741.
IEEE DOI
2411
Location awareness, Task analysis, Visualization, Proposals,
Training, Adaptation models, Semantics, Open-Vocabulary,
temporal action localization
BibRef
Han, C.[Cong],
Zhong, Y.J.[Yu-Jie],
Li, D.J.[Deng-Jie],
Han, K.[Kai],
Ma, L.[Lin],
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network,
ICCV23(1086-1096)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhu, C.Y.[Chao-Yang],
Chen, L.[Long],
A Survey on Open-Vocabulary Detection and Segmentation: Past,
Present, and Future,
PAMI(46), No. 12, December 2024, pp. 8954-8975.
IEEE DOI
2411
Survey, Open-Vocabulary. Task analysis, Visualization, Training, Semantics,
Image segmentation, Vocabulary, Transfer learning, Open-vocabulary,
future directions
BibRef
Rai, S.N.[Shyam Nandan],
Cermelli, F.[Fabio],
Caputo, B.[Barbara],
Masone, C.[Carlo],
Mask2Anomaly: Mask Transformer for Universal Open-Set Segmentation,
PAMI(46), No. 12, December 2024, pp. 9286-9302.
IEEE DOI
2411
Image segmentation, Task analysis, Semantic segmentation,
Semantics, Transformers, Training, Noise measurement,
mask architecture
BibRef
Pan, T.[Ting],
Tang, L.[Lulu],
Wang, X.L.[Xin-Long],
Shan, S.G.[Shi-Guang],
Tokenize Anything via Prompting,
ECCV24(XLVII: 330-348).
Springer DOI
2412
Code:
WWW Link. segmenting, recognizing, and captioning anything.
BibRef
Yang, Y.H.[Yu-Huan],
Ma, C.F.[Chao-Fan],
Ju, C.[Chen],
Zhang, F.[Fei],
Yao, J.C.[Jiang-Chao],
Zhang, Y.[Ya],
Wang, Y.F.[Yan-Feng],
Multi-modal Prototypes for Open-World Semantic Segmentation,
IJCV(132), No. 12, December 2024, pp. 6004-6020.
Springer DOI
2501
BibRef
Pan, Y.[Yuwen],
Sun, R.[Rui],
Wang, Y.[Yuan],
Yang, W.F.[Wen-Fei],
Zhang, T.Z.[Tian-Zhu],
Zhang, Y.D.[Yong-Dong],
Purify Then Guide: A Bi-Directional Bridge Network for
Open-Vocabulary Semantic Segmentation,
CirSysVideo(35), No. 1, January 2025, pp. 343-356.
IEEE DOI
2502
Semantics, Vocabulary, Semantic segmentation, Reliability,
Visualization, Proposals, Modulation, reliable attention
BibRef
Xu, W.H.[Wen-Hao],
Wang, C.W.[Chang-Wei],
Feng, X.[Xuxiang],
Xu, R.T.[Rong-Tao],
Huang, L.Z.[Long-Zhao],
Zhang, Z.R.[Zhe-Rui],
Guo, L.[Li],
Xu, S.B.[Shi-Biao],
Generalization Boosted Adapter for Open-Vocabulary Segmentation,
CirSysVideo(35), No. 1, January 2025, pp. 520-533.
IEEE DOI Code:
WWW Link.
2502
Adaptation models, Visualization, Semantics, Image segmentation,
Computational modeling, Data models, Vocabulary, adapter
BibRef
Shi, H.C.[Heng-Can],
Dao, S.D.[Son Duy],
Cai, J.F.[Jian-Fei],
LLMFormer: Large Language Model for Open-Vocabulary Semantic
Segmentation,
IJCV(133), No. 2, February 2025, pp. 742-759.
Springer DOI
2502
BibRef
Wang, J.L.[Jing-Long],
Li, X.[Xiawei],
Zhang, J.[Jing],
Xu, Q.Y.[Qing-Yuan],
Zhou, Q.[Qin],
Yu, Q.[Qian],
Sheng, L.[Lu],
Xu, D.[Dong],
Diffusion Model is Secretly a Training-Free Open Vocabulary Semantic
Segmenter,
IP(34), 2025, pp. 1895-1907.
IEEE DOI
2504
Diffusion models, Semantic segmentation, Semantics, Training, Shape,
Vocabulary, Data models, Noise reduction, Text to image, Data mining,
semantic segmentation
BibRef
Hajimiri, S.[Sina],
Ayed, I.B.[Ismail Ben],
Dolz, J.[Jose],
Pay Attention to Your Neighbours:
Training-Free Open-Vocabulary Semantic Segmentation,
WACV25(5061-5071)
IEEE DOI Code:
WWW Link.
2505
Location awareness, Training, Visualization, Semantic segmentation,
Semantics, Benchmark testing, Predictive models, Transformers, training-free
BibRef
Zhou, H.[Hao],
Qi, L.[Lu],
Shen, T.C.[Tian-Cheng],
Huang, H.[Hai],
Yang, X.[Xu],
Li, X.T.[Xiang-Tai],
Yang, M.H.[Ming-Hsuan],
Rethinking Evaluation Metrics of Open-Vocabulary Segmentation,
PAMI(47), No. 8, August 2025, pp. 6780-6796.
IEEE DOI
2507
Measurement, Image segmentation, Semantics, Floors, Windows,
Object detection, Computational modeling, Analytical models,
similarity measurements
BibRef
Chen, Z.[Zhen],
Tang, H.[Hao],
Zhang, S.L.[Shi-Liang],
Generalization-preserving adaptation of vision-language models for
open-vocabulary segmentation,
CVIU(261), 2025, pp. 104518.
Elsevier DOI
2511
Generalization-preserving model adaptation,
Vision-language models, Open-vocabulary segmentation
BibRef
Nayal, N.[Nazir],
Shoeb, Y.[Youssef],
Güney, F.[Fatma],
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects,
IJCV(133), No. 10, October 2025, pp. 6860-6872.
Springer DOI
2511
BibRef
Reichard, K.[Klara],
Rizzoli, G.[Giulia],
Gasperini, S.[Stefano],
Hoyer, L.[Lukas],
Zanuttigh, P.[Pietro],
Navab, N.[Nassir],
Tombari, F.[Federico],
From open-vocabulary to vocabulary-free semantic segmentation,
PRL(198), 2025, pp. 14-21.
Elsevier DOI Code:
WWW Link.
2511
Vocabulary-free, Semantic segmentation, Vision-language models
BibRef
Wiedmann, L.[Luis],
Wiehe, L.[Luca],
Rozenberszki, D.[David],
DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting,
OpenSUN3D25(5217-5226)
IEEE DOI
2512
Instance segmentation, Solid modeling, Semantic segmentation, Pipelines,
Semantics, Predictive models, Proposals, Pattern matching,
3d scene understanding
BibRef
Li, F.[Fan],
Zhang, Z.X.[Zhao-Xiang],
Wang, X.[Xuanbin],
Wang, X.[Xuan],
Xu, Y.L.[Yue-Lei],
Bridging Vision Foundation and Vision-Language Models for
Open-Vocabulary Semantic Segmentation of UAV Imagery,
RS(17), No. 22, 2025, pp. 3704.
DOI Link
2512
BibRef
Huang, W.[Wubiao],
Li, H.C.[Hu-Chen],
Zhang, S.[Shuai],
Deng, F.[Fei],
Reducing semantic ambiguity in open-vocabulary remote sensing image
segmentation via knowledge graph-enhanced class representations,
PandRS(231), 2026, pp. 837-853.
Elsevier DOI Code:
WWW Link.
2512
Open-vocabulary segmentation, Semantic ambiguity,
Knowledge graph, Class-aware attention
BibRef
Bai, S.[Sule],
Liu, Y.[Yong],
Han, Y.F.[Yi-Fei],
Zhang, H.J.[Hao-Ji],
Tang, Y.S.[Yan-Song],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation,
IP(34), 2025, pp. 8271-8284.
IEEE DOI Code:
WWW Link.
2512
Image segmentation, Semantics, Correlation, Visualization, Noise,
Feature extraction, Coherence, Spatial resolution, training-free
BibRef
Zhu, W.Q.[Wen-Qi],
Xie, B.[Bin],
Cao, J.[Jiale],
Xie, J.[Jin],
Khan, F.S.[Fahad Shahbaz],
Pang, Y.W.[Yan-Wei],
SED++: A Simple Encoder-Decoder for Improved Open-Vocabulary Semantic
Segmentation,
PAMI(48), No. 3, March 2026, pp. 2528-2543.
IEEE DOI
2602
BibRef
Earlier: A2, A3, A4, A5, A6, Only:
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic
Segmentation,
CVPR24(3426-3436)
IEEE DOI Code:
WWW Link.
2410
Semantic segmentation, Decoding, Semantics, Costs, Videos,
Transformers, Accuracy, Vocabulary, Proposals, Predictive models,
category early rejection.
Degradation, Adaptation models, Source coding, Semantics, Open-Vocabulary,
Encoder-Decoder
BibRef
Chen, J.L.[Jia-Lei],
Fan, Q.[Qi],
Li, D.Y.[Dong-Yue],
Zheng, X.[Xu],
Muras, H.S.[Hiro-Shi],
Deguchi, D.[Daisuke],
Training-Free Open-Vocabulary Semantic Segmentation with Context
Pyramid Refinement,
IJCV(134), No. 6, June 2026, pp. 281.
Springer DOI
2605
BibRef
Chng, Y.X.[Yong Xien],
Qiu, X.[Xuchong],
Han, Y.Z.[Yi-Zeng],
Ding, K.[Kai],
Ding, W.[Wan],
Huang, G.[Gao],
Aligning Vision-Language Model With Fine-Grained Semantics for
Open-Vocabulary Segmentation,
CirSysVideo(36), No. 5, May 2026, pp. 7368-7381.
IEEE DOI
2605
Semantics, Visualization, Feature extraction, Training,
Adaptation models, Image segmentation, Image reconstruction,
vision-language model
BibRef
Xu, Y.[Yuan],
Jiang, L.[Lin],
Wan, L.[Le],
Li, Y.F.[Yun-Fei],
Zhu, J.Y.[Jian-Yang],
Lu, Q.[Qing],
Open world object detection applied in semantic scene construction,
PR(179), 2026, pp. 113613.
Elsevier DOI Code:
WWW Link.
2606
Object detection, Unknown environment, Scene reconstruction, Open set learning
BibRef
Wang, C.W.[Chang-Wei],
Xu, W.H.[Wen-Hao],
Xu, R.T.[Rong-Tao],
Zhang, Z.R.[Zhe-Rui],
Xu, S.B.[Shi-Biao],
Zhang, J.[Jiguang],
Teng, X.Q.[Xiao-Qiang],
Meng, W.L.[Wei-Liang],
Zhang, X.P.[Xiao-Peng],
Adaptive in Adapter: Boosting Open-Vocabulary Semantic Segmentation
With Adaptive Dropout Adapter,
MultMed(28), 2026, pp. 3921-3931.
IEEE DOI
2606
Semantic segmentation, Visualization, Feature extraction,
Adaptation models, Artificial intelligence, Training, Pipelines,
visual language model
BibRef
Bohoran, T.A.,
Parke, K.S.,
Cowley, A.,
Gulsin, G.S.,
Yeo, J.,
Dattani, A.,
McCann, G.P.,
Giannakidis, A.,
Segmetron: Sample-efficient model-agnostic semantic segmentation with
a trustworthy reject option via PQ learning,
PR(179), 2026, pp. 113753.
Elsevier DOI
2606
Covariate shift, Detection, Semantic segmentation,
Hypothesis test, Arbitrary test distribution, Dataset shift, PQ learning
BibRef
Zhao, Z.Y.[Zi-Yu],
Li, X.G.[Xiao-Guang],
Shi, L.[Linjia],
Imanpour, N.[Nasrin],
Wang, S.[Song],
DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic
Segmentation,
CVPR25(25346-25356)
IEEE DOI Code:
WWW Link.
2508
Training, Visualization, Costs, Codes, Semantic segmentation,
Semantics, Feature extraction, Decoding
BibRef
Wang, Z.Y.[Zheng-Yang],
Feng, T.L.[Ting-Liang],
Lyu, F.[Fan],
Shang, F.[Fanhua],
Feng, W.[Wei],
Wan, L.[Liang],
Dual Semantic Guidance for Open Vocabulary Semantic Segmentation,
CVPR25(20212-20222)
IEEE DOI
2508
Training, Visualization, Vocabulary, Image recognition,
Text recognition, Annotations, Semantic segmentation, Semantics, Data models
BibRef
Lee, M.[Minhyeok],
Cho, S.[Suhwan],
Lee, J.[Jungho],
Yang, S.[Sunghun],
Choi, H.[Heeseung],
Kim, I.J.[Ig-Jae],
Lee, S.Y.[Sang-Youn],
Effective SAM Combination for Open-Vocabulary Semantic Segmentation,
CVPR25(26081-26090)
IEEE DOI
2508
Accuracy, Semantic segmentation, Computational modeling,
Predictive models, Robustness, Generators, Standards
BibRef
Li, K.Y.[Kai-Yu],
Liu, R.X.[Rui-Xun],
Cao, X.[Xiangyong],
Bai, X.[Xueru],
Zhou, F.[Feng],
Meng, D.Y.[De-Yu],
Wang, Z.[Zhi],
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for
Remote Sensing Images,
CVPR25(10545-10556)
IEEE DOI
2508
Earth, Training, Sensitivity, Shape, Semantic segmentation, Roads,
Manuals, Image restoration, Remote sensing, semantic segmentation,
remote sensing
BibRef
Lai, Z.H.[Zi-Hang],
Exploring Simple Open-Vocabulary Semantic Segmentation,
CVPR25(30221-30230)
IEEE DOI
2508
Accuracy, Annotations, Semantic segmentation, Scalability, Semantics,
Manuals, Solids, Testing
BibRef
Stojnic, V.[Vladan],
Kalantidis, Y.[Yannis],
Matas, J.[Jirí],
Tolias, G.[Giorgos],
LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary
Semantic Segmentation,
CVPR25(9794-9803)
IEEE DOI Code:
WWW Link.
2508
Image resolution, Codes, Accuracy,
Benchmark testing, open-vocabulary semantic segmentation,
BibRef
Qorbani, R.[Reza],
Villani, G.[Gianluca],
Panagiotakopoulos, T.[Theodoros],
Colomer, M.B.[Marc Botet],
Härenstam-Nielsen, L.[Linus],
Segu, M.[Mattia],
Dovesi, P.L.[Pier Luigi],
Karlgren, J.[Jussi],
Cremers, D.[Daniel],
Tombari, F.[Federico],
Poggi, M.[Matteo],
Semantic Library Adaptation: LoRA Retrieval and Fusion for
Open-Vocabulary Semantic Segmentation,
CVPR25(9804-9815)
IEEE DOI
2508
Training, Adaptation models, Data privacy, Vocabulary,
Target tracking, Semantic segmentation, Merging, Semantics,
Standards
BibRef
Choi, J.[Jiho],
Lee, S.[Seonho],
Lee, M.[Minhyun],
Lee, S.[Seungho],
Shim, H.J.[Hyun-Jung],
Fine-Grained Image-Text Correspondence with Cost Aggregation for
Open-Vocabulary Part Segmentation,
CVPR25(9782-9793)
IEEE DOI
2508
Image segmentation, Costs, Annotations, Object recognition,
open-vocabulary part segmentation, cost aggregation,
part segmentation
BibRef
Kim, C.[Chanyoung],
Ju, D.[Dayun],
Han, W.[Woojung],
Yang, M.H.[Ming-Hsuan],
Hwang, S.J.[Seong Jae],
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary
Semantic Segmentation,
CVPR25(15033-15042)
IEEE DOI
2508
Training, Visualization, Attention mechanisms, Accuracy, Foundation models,
Semantic segmentation, Semantics, Coherence, Pattern recognition
BibRef
Choi, J.[Jaehyun],
Ko, J.[Junwon],
Lee, D.J.[Dong-Jae],
Kim, J.[Junmo],
AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield
Segmentation Model for Open Compound Domain Adaptation,
WACV25(8280-8290)
IEEE DOI
2505
Training, Image segmentation, Adaptation models,
Fast Fourier transforms, Semantic segmentation, curriculum learning
BibRef
Zhuo, Y.X.[Yao-Xin],
Bessinger, Z.[Zachary],
Wang, L.C.[Li-Chen],
Khosravan, N.[Naji],
Li, B.X.[Bao-Xin],
Kang, S.B.[Sing Bing],
TFM2: Training-Free Mask Matching for Open-Vocabulary Semantic
Segmentation,
WACV25(4693-4703)
IEEE DOI
2505
Vocabulary, Visualization, Adaptation models,
Semantic segmentation, Data models, Complexity theory
BibRef
Wang, Y.M.[Yi-Mu],
Czarnecki, K.[Krzysztof],
AiDe: Improving 3D Open-Vocabulary Semantic Segmentation by Aligned
Vision-Language Learning,
WACV25(2674-2685)
IEEE DOI
2505
Training, Bridges, Solid modeling, Semantic segmentation, Semantics,
Data collection, Benchmark testing, Data models
BibRef
Kalluri, T.[Tarun],
Wang, W.Y.[Wei-Yao],
Wang, H.[Heng],
Chandraker, M.[Manmohan],
Torresani, L.[Lorenzo],
Tran, D.[Du],
Open-world Instance Segmentation: Top-down Learning with Bottom-up
Supervision,
L3D-IVU24(2693-2703)
IEEE DOI
2410
Instance segmentation, Degradation, Codes, Computational modeling, Taxonomy
BibRef
Zheng, J.W.[Jun-Wei],
Liu, R.P.[Rui-Ping],
Chen, Y.F.[Yu-Fan],
Peng, K.Y.[Kun-Yu],
Wu, C.Z.[Cheng-Zhi],
Yang, K.L.[Kai-Lun],
Zhang, J.M.[Jia-Ming],
Stiefelhagen, R.[Rainer],
Open Panoramic Segmentation,
ECCV24(XXXIX: 164-182).
Springer DOI
2412
BibRef
Karazija, L.[Laurynas],
Laina, I.[Iro],
Vedaldi, A.[Andrea],
Rupprecht, C.[Christian],
Diffusion Models for Open-vocabulary Segmentation,
ECCV24(V: 299-317).
Springer DOI
2412
BibRef
Wilms, C.[Christian],
Rolff, T.[Tim],
Hillemann, M.[Maris],
Johanson, R.[Robert],
Frintrop, S.[Simone],
Sos: Segment Object System for Open-world Instance Segmentation with
Object Priors,
ECCV24(XXVII: 165-182).
Springer DOI
2412
BibRef
Jiao, S.[Siyu],
Zhu, H.G.[Hong-Guang],
Huang, J.N.[Jian-Nan],
Zhao, Y.[Yao],
Wei, Y.C.[Yun-Chao],
Shi, H.[Humphrey],
Collaborative Vision-text Representation Optimizing for Open-vocabulary
Segmentation,
ECCV24(XXXIII: 399-416).
Springer DOI
2412
BibRef
Wysoczanska, M.[Monika],
Siméoni, O.[Oriane],
Ramamonjisoa, M.[Michaël],
Bursuc, A.[Andrei],
Trzcinski, T.[Tomasz],
Pérez, P.[Patrick],
CLIP-dinoiser: Teaching CLIP a Few Dino Tricks for Open-vocabulary
Semantic Segmentation,
ECCV24(LXI: 320-337).
Springer DOI
2412
BibRef
Shao, T.[Tong],
Tian, Z.[Zhuotao],
Zhao, H.[Hang],
Su, J.[Jingyong],
Explore the Potential of CLIP for Training-free Open Vocabulary
Semantic Segmentation,
ECCV24(LXXXVI: 139-156).
Springer DOI
2412
BibRef
Lan, M.C.[Meng-Cheng],
Chen, C.F.[Chao-Feng],
Ke, Y.P.[Yi-Ping],
Wang, X.J.[Xin-Jiang],
Feng, L.[Litong],
Zhang, W.[Wayne],
Proxyclip: Proxy Attention Improves CLIP for Open-vocabulary
Segmentation,
ECCV24(LXVIII: 70-88).
Springer DOI
2412
BibRef
Jiang, L.[Li],
Shi, S.S.[Shao-Shuai],
Schiele, B.[Bernt],
Open-Vocabulary 3D Semantic Segmentation with Foundation Models,
CVPR24(21284-21294)
IEEE DOI
2410
Text recognition, Semantic segmentation,
3D Semantic Segmentation, Open Vocabulary, Foundation Models
BibRef
Zhao, W.J.[Wen-Jie],
Li, J.[Jia],
Dong, X.[Xin],
Xiang, Y.[Yu],
Guo, Y.H.[Yun-Hui],
Segment Every Out-of-Distribution Object,
CVPR24(3910-3920)
IEEE DOI Code:
WWW Link.
2410
Codes, Semantic segmentation, Face recognition, Benchmark testing,
Out-of-distribution detection, Semantic segmentation, prompt-based segmentation
BibRef
Liu, Y.[Yong],
Bai, S.[Sule],
Li, G.B.[Guan-Bin],
Wang, Y.T.[Yi-Tong],
Tang, Y.S.[Yan-Song],
Open-Vocabulary Segmentation with Semantic-Assisted Calibration,
CVPR24(3491-3500)
IEEE DOI
2410
Measurement, Image segmentation, Visualization, Semantics,
Benchmark testing, Predictive models, open-vocabulary segmentation
BibRef
Bousselham, W.[Walid],
Petersen, F.[Felix],
Ferrari, V.[Vittorio],
Kuehne, H.[Hilde],
Grounding Everything: Emerging Localization Properties in
Vision-Language Transformers,
CVPR24(3828-3837)
IEEE DOI Code:
WWW Link.
2410
Location awareness, Training, Codes, Grounding,
Semantic segmentation, Pipelines, open-vocabulary zero-shot,
CLIP
BibRef
Wang, Y.[Yuan],
Sun, R.[Rui],
Luo, N.[Naisong],
Pan, Y.[Yuwen],
Zhang, T.Z.[Tian-Zhu],
Image-to-Image Matching via Foundation Models: A New Perspective for
Open-Vocabulary Semantic Segmentation,
CVPR24(3952-3963)
IEEE DOI
2410
Visualization, Image recognition, Semantic segmentation,
Benchmark testing, Lead, Diffusion models, Training-free
BibRef
Nguyen, P.[Phuc],
Ngo, T.D.[Tuan Duc],
Kalogerakis, E.[Evangelos],
Gan, C.[Chuang],
Tran, A.[Anh],
Pham, C.[Cuong],
Nguyen, K.[Khoi],
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask
Guidance,
CVPR24(4018-4028)
IEEE DOI
2410
Instance segmentation, Point cloud compression,
Location awareness, Shape, Performance gain,
3D Instance Segmentation
BibRef
Luo, J.Y.[Jia-Yun],
Khandelwal, S.[Siddhesh],
Sigal, L.[Leonid],
Li, B.Y.[Bo-Yang],
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf
Vision-Language Models,
CVPR24(4029-4040)
IEEE DOI Code:
WWW Link.
2410
Training, Vocabulary, Visualization, Image resolution,
Semantic segmentation, Text to image, training-free
BibRef
Bourouis, A.[Ahmed],
Fan, J.E.[Judith E.],
Gryaditskaya, Y.[Yulia],
Open Vocabulary Semantic Scene Sketch Understanding,
CVPR24(4176-4186)
IEEE DOI
2410
Training, Vocabulary, Visualization, Semantics, Pipelines, Psychology
BibRef
Wang, X.Q.[Xiao-Qi],
He, W.B.[Wen-Bin],
Xuan, X.[Xiwei],
Sebastian, C.[Clint],
Ono, J.P.[Jorge Piazentin],
Li, X.[Xin],
Behpour, S.[Sima],
Doan, T.[Thang],
Gou, L.[Liang],
Shen, H.W.[Han-Wei],
Ren, L.[Liu],
USE: Universal Segment Embeddings for Open-Vocabulary Image
Segmentation,
CVPR24(4187-4196)
IEEE DOI
2410
Representation learning, Image segmentation, Vocabulary,
Semantic segmentation, Scalability, Pipelines, foundation model
BibRef
Marcos-Manchon, P.[Pablo],
Alcover-Couso, R.[Roberto],
SanMiguel, J.C.[Juan C.],
Martinez, J.M.[Jose M.],
Open-Vocabulary Attention Maps with Token Optimization for Semantic
Segmentation in Diffusion Models,
CVPR24(9242-9252)
IEEE DOI
2410
Training, Vocabulary, Text recognition, Semantic segmentation,
Computational modeling, Text to image, Diffusion models,
Attention
BibRef
Sun, S.Y.[Shu-Yang],
Li, R.[Runjia],
Torr, P.[Philip],
Gu, X.[Xiuye],
Li, S.Y.[Si-Yang],
CLIP as RNN: Segment Countless Visual Concepts without Training
Endeavor,
CVPR24(13171-13182)
IEEE DOI
2410
Training, Vocabulary, Visualization, Filters, Semantic segmentation,
Semantics, open-vocabulary, image segmentation,
training-free methods
BibRef
Kong, L.D.[Ling-Dong],
Liu, Y.Q.[You-Quan],
Ng, L.X.[Lai Xing],
Cottereau, B.R.[Benoit R.],
Ooi, W.T.[Wei Tsang],
OpenESS: Event-Based Semantic Scene Understanding with Open
Vocabularies,
CVPR24(15686-15698)
IEEE DOI
2410
Representation learning, Vocabulary, Image resolution, Semantic segmentation,
Scalability, Semantics, Event Camera, Multi-Modal Learning
BibRef
Xu, J.X.[Jing-Xuan],
Chen, W.Y.[Wu-Yang],
Zhao, Y.[Yao],
Wei, Y.C.[Yun-Chao],
Transferable and Principled Efficiency for Open-Vocabulary
Segmentation,
CVPR24(15814-15824)
IEEE DOI Code:
WWW Link.
2410
Training, Convolutional codes, Costs, Computational modeling,
Object detection, Solids
BibRef
Barsellotti, L.[Luca],
Amoroso, R.[Roberto],
Cornia, M.[Marcella],
Baraldi, L.[Lorenzo],
Cucchiara, R.[Rita],
Training-Free Open-Vocabulary Segmentation with Offline
Diffusion-Augmented Prototype Generation,
CVPR24(3689-3698)
IEEE DOI
2410
Training, Location awareness, Visualization, Semantic segmentation,
Source coding, Semantics, Open-Vocabulary, Segmentation, Unsupervised
BibRef
Choe, S.A.[Seun-An],
Shin, A.H.[Ah-Hyung],
Park, K.H.[Keon-Hee],
Choi, J.[Jinwoo],
Park, G.M.[Gyeong-Moon],
Open-Set Domain Adaptation for Semantic Segmentation,
CVPR24(23943-23953)
IEEE DOI Code:
WWW Link.
2410
Industries, Adaptation models, Limiting, Shape,
Semantic segmentation, Computational modeling, Domain Adaptation
BibRef
Shan, X.H.[Xiang-Heng],
Wu, D.Y.[Dong-Yue],
Zhu, G.L.[Gui-Lin],
Shao, Y.J.[Yuan-Jie],
Sang, N.[Nong],
Gao, C.X.[Chang-Xin],
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing,
CVPR24(28412-28421)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Vocabulary, Image resolution,
Image recognition, Semantic segmentation, Semantics
BibRef
Li, Z.[Ziyi],
Zhou, Q.[Qinye],
Zhang, X.Y.[Xiao-Yun],
Zhang, Y.[Ya],
Wang, Y.F.[Yan-Feng],
Xie, W.[Weidi],
Open-vocabulary Object Segmentation with Diffusion Models,
ICCV23(7633-7642)
IEEE DOI
2401
BibRef
Zhu, M.[Muzhi],
Li, H.T.[Heng-Tao],
Chen, H.[Hao],
Fan, C.X.[Cheng-Xiang],
Mao, W.[Weian],
Jing, C.C.[Chen-Chen],
Liu, Y.F.[Yi-Fan],
Shen, C.H.[Chun-Hua],
SegPrompt:
Boosting Open-world Segmentation via Category-level Prompt Learning,
ICCV23(999-1008)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, H.[Hao],
Li, F.[Feng],
Zou, X.[Xueyan],
Liu, S.L.[Shi-Long],
Li, C.Y.[Chun-Yuan],
Yang, J.W.[Jian-Wei],
Zhang, L.[Lei],
A Simple Framework for Open-Vocabulary Segmentation and Detection,
ICCV23(1020-1031)
IEEE DOI Code:
WWW Link.
2401
BibRef
Huang, K.[Kai],
Wang, F.[Feigege],
Xi, Y.[Ye],
Gao, Y.T.[Yu-Tao],
Prototypical Kernel Learning and Open-set Foreground Perception for
Generalized Few-shot Semantic Segmentation,
ICCV23(19199-19208)
IEEE DOI
2401
BibRef
Cai, K.X.[Kai-Xin],
Ren, P.Z.[Peng-Zhen],
Zhu, Y.[Yi],
Xu, H.[Hang],
Liu, J.Z.[Jian-Zhuang],
Li, C.L.[Chang-Lin],
Wang, G.R.[Guang-Run],
Liang, X.D.[Xiao-Dan],
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask
Learner for Open-World Semantic Segmentation,
ICCV23(1196-1205)
IEEE DOI
2401
BibRef
Chen, J.[Jun],
Zhu, D.[Deyao],
Qian, G.C.[Guo-Cheng],
Ghanem, B.[Bernard],
Yan, Z.C.[Zhi-Cheng],
Zhu, C.C.[Chen-Chen],
Xiao, F.Y.[Fan-Yi],
Culatana, S.C.[Sean Chang],
Elhoseiny, M.[Mohamed],
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision
Encoder Distillation Only,
ICCV23(699-710)
IEEE DOI Code:
WWW Link.
2401
BibRef
Han, K.Y.[Kun-Yang],
Liu, Y.[Yong],
Liew, J.H.[Jun Hao],
Ding, H.H.[Heng-Hui],
Liu, J.J.[Jia-Jun],
Wang, Y.T.[Yi-Tong],
Tang, Y.S.[Yan-Song],
Yang, Y.[Yujiu],
Feng, J.S.[Jia-Shi],
Zhao, Y.[Yao],
Wei, Y.C.[Yun-Chao],
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation,
ICCV23(797-807)
IEEE DOI
2401
BibRef
Barsellotti, L.[Luca],
Amoroso, R.[Roberto],
Baraldi, L.[Lorenzo],
Cucchiara, R.[Rita],
FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic
References Retrieval,
WACV24(1453-1462)
IEEE DOI
2404
BibRef
Earlier:
Enhancing Open-vocabulary Semantic Segmentation with Prototype
Retrieval,
CIAP23(II:196-208).
Springer DOI
2312
Training, Visualization, Sensitivity, Semantic segmentation, Semantics,
Prototypes, Predictive models, Algorithms, Image recognition and understanding
BibRef
Xu, J.[Jilan],
Hou, J.L.[Jun-Lin],
Zhang, Y.J.[Yue-Jie],
Feng, R.[Rui],
Wang, Y.[Yi],
Qiao, Y.[Yu],
Xie, W.[Weidi],
Learning Open-Vocabulary Semantic Segmentation Models From Natural
Language Supervision,
CVPR23(2935-2944)
IEEE DOI
2309
BibRef
Cha, J.[Junbum],
Mun, J.[Jonghwan],
Roh, B.[Byungseok],
Learning to Generate Text-Grounded Mask for Open-World Semantic
Segmentation from Only Image-Text Pairs,
CVPR23(11165-11174)
IEEE DOI
2309
BibRef
Mukhoti, J.[Jishnu],
Lin, T.Y.[Tsung-Yu],
Poursaeed, O.[Omid],
Wang, R.[Rui],
Shah, A.[Ashish],
Torr, P.H.S.[Philip H.S.],
Lim, S.N.[Ser-Nam],
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive
Learning,
CVPR23(19413-19423)
IEEE DOI
2309
BibRef
Liang, F.[Feng],
Wu, B.[Bichen],
Dai, X.L.[Xiao-Liang],
Li, K.P.[Kun-Peng],
Zhao, Y.[Yinan],
Zhang, H.[Hang],
Zhang, P.Z.[Pei-Zhao],
Vajda, P.[Peter],
Marculescu, D.[Diana],
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP,
CVPR23(7061-7070)
IEEE DOI
2309
BibRef
Zabari, N.[Nir],
Hoshen, Y.[Yedid],
Open-vocabulary Semantic Segmentation Using Test-time Distillation,
LLID22(56-72).
Springer DOI
2304
BibRef
Nunes, I.[Ian],
Pereira, M.B.[Matheus B.],
Oliveira, H.[Hugo],
dos Santos, J.A.[Jefersson A.],
Poggi, M.[Marcus],
Conditional Reconstruction for Open-Set Semantic Segmentation,
ICIP22(946-950)
IEEE DOI
2211
Adaptation models, Semantics, Time series analysis,
Data integration, Decoding, Task analysis, Image reconstruction, open world
BibRef
Liu, Q.D.[Quan-De],
Wen, Y.P.[You-Peng],
Han, J.H.[Jian-Hua],
Xu, C.J.[Chun-Jing],
Xu, H.[Hang],
Liang, X.D.[Xiao-Dan],
Open-World Semantic Segmentation via Contrasting and Clustering
Vision-Language Embedding,
ECCV22(XX:275-292).
Springer DOI
2211
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Vision Transformers for Semantic Segmentation .