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Six types of detectors are included:
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(
See also Automated location matching in movies. ) and
Hessian points (
See also Scale and Affine Invariant Interest Point Detectors. ),
MSER: Maximally stable extremal regions (
See also Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. );
an edge-based region detector (Tuytelaars and Van Gool, 1999) and
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See also Matching Widely Separated Views Based on Affine Invariant Regions. ),
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DPM
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Feature extraction, Prototypes, Object detection, Detectors,
Semantics, Principal component analysis, Training, discrimination
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Lin, F.[Feng],
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Chen, Y.[Yu],
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Online incremental learning, Open world object detection,
Catastrophic forgetting, Prototype-based perturbation
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Zhao, X.W.[Xiao-Wei],
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IEEE DOI
2405
Object detection, Task analysis, Benchmark testing, Measurement,
Proposals, Training, Labeling, Open world, object detection,
class-specific expelling classifier
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Shi, H.C.[Heng-Can],
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MultMed(26), 2024, pp. 8704-8716.
IEEE DOI
2408
Task analysis, Training, Decoding, Visualization, Feature extraction,
Semantics, Object detection, Open-vocabulary, object detection,
image segmentation
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Lu, F.[Feng],
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object detection
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Chen, K.Y.[Ke-Yan],
Jiang, X.L.[Xiao-Long],
Wang, H.C.[Hao-Chen],
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Tang, X.[Xu],
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Xie, W.D.[Wei-Di],
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IJCV(132), No. 11, November 2024, pp. 5387-5409.
Springer DOI
2411
BibRef
Chen, K.Y.[Ke-Yan],
Jiang, X.L.[Xiao-Long],
Hu, Y.[Yao],
Tang, X.[Xu],
Gao, Y.[Yan],
Chen, J.Q.[Jian-Qi],
Xie, W.[Weidi],
OvarNet: Towards Open-Vocabulary Object Attribute Recognition,
CVPR23(23518-23527)
IEEE DOI
2309
BibRef
Fan, J.Q.[Jia-Qi],
Zhang, E.[Enming],
Wei, Y.[Ying],
Wang, Y.F.[Yue-Feng],
Xia, J.[Jiakun],
Liu, J.W.[Jun-Wei],
Liu, X.H.[Xing-Hong],
Ma, S.[Shuailei],
DDOWOD: DiffusionDet for open-world object detection,
PRL(186), 2024, pp. 170-177.
Elsevier DOI
2412
Open-world object detection, SAM, DiffusionDet, Pseudo-labels,
Stepwise distillation (SD)
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He, Y.L.[Yu-Lin],
Chen, W.[Wei],
Wang, S.Q.[Si-Qi],
Liu, T.R.[Tian-Rui],
Wang, M.[Meng],
Recalling Unknowns Without Losing Precision: An Effective Solution to
Large Model-Guided Open World Object Detection,
IP(34), 2025, pp. 729-742.
IEEE DOI Code:
WWW Link.
2502
Object detection, Object recognition, Training, Noise, Detectors,
Image segmentation, Degradation, Open world, large vision model,
open world object detection
BibRef
Li, Y.M.[Yi-Ming],
Wang, Y.[Yi],
Wang, W.Q.[Wen-Qian],
Lin, D.[Dan],
Li, B.B.[Bing-Bing],
Yap, K.H.[Kim-Hui],
Open World Object Detection: A Survey,
CirSysVideo(35), No. 2, February 2025, pp. 988-1008.
IEEE DOI Code:
WWW Link.
2502
Object detection, Reviews, Surveys, Incremental learning,
Benchmark testing, Proposals, Training, Feature extraction,
open set recognition
BibRef
Huang, Y.Y.[Yang-Yang],
Xi, X.[Xing],
Luo, R.H.[Rong-Hua],
DDMCB: Open-world object detection empowered by Denoising Diffusion
Models and Calibration Balance,
IVC(157), 2025, pp. 105508.
Elsevier DOI
2504
Open world, DDPM, Unsupervised, Incremental learning, Object detection
BibRef
Xi, X.[Xing],
Huang, Y.Y.[Yang-Yang],
Luo, R.H.[Rong-Hua],
Qiu, Y.[Yu],
OW-OVD: Unified Open World and Open Vocabulary Object Detection,
CVPR25(25454-25464)
IEEE DOI Code:
WWW Link.
2508
Vocabulary, Visualization, Incremental learning, Uncertainty,
Detectors, Object detection, Iterative methods, Standards
BibRef
Roy, A.[Anirban],
Cobb, A.[Adam],
Kaur, R.[Ramneet],
Jha, S.[Sumit],
Bastian, N.D.[Nathaniel D.],
Berenbeim, A.[Alexander],
Thomson, R.[Robert],
Cruickshank, I.[Iain],
Velasquez, A.[Alvaro],
Jha, S.[Susmit],
Zero-Shot Detection of Out-of-Context Objects Using Foundation Models,
WACV25(9186-9195)
IEEE DOI
2505
Training, Accuracy, Foundation models, Shape,
Large language models, Computational modeling, Object detection,
counterfactuals
BibRef
Xu, S.L.[Shi-Lin],
Li, X.T.[Xiang-Tai],
Wu, S.[Size],
Zhang, W.W.[Wen-Wei],
Tong, Y.H.[Yun-Hai],
Loy, C.C.[Chen Change],
DST-Det: Open-Vocabulary Object Detection via Dynamic Self-Training,
CirSysVideo(35), No. 5, May 2025, pp. 5037-5050.
IEEE DOI Code:
WWW Link.
2505
Training, Detectors, Proposals, Vocabulary, Object detection,
Visualization, Testing, Pipelines, Labeling, Accuracy, pseudo labeling
BibRef
Ma, Y.Q.[Yu-Qi],
Liu, M.Y.[Meng-Yin],
Zhu, C.[Chao],
Yin, X.C.[Xu-Cheng],
HA-FGOVD: Highlighting Fine-Grained Attributes via Explicit Linear
Composition for Open-Vocabulary Object Detection,
MultMed(27), 2025, pp. 3171-3183.
IEEE DOI
2506
Feature extraction, Object detection, Dogs, Vocabulary,
Benchmark testing, Visualization, Vectors, Data models, Training,
vision-language model
BibRef
Wang, Z.Y.[Zhen-Yu],
Li, Y.[Yali],
Chen, X.[Xi],
Lim, S.N.[Ser-Nam],
Torralba, A.B.[Antonio B.],
Zhao, H.S.[Heng-Shuang],
Wang, S.J.[Sheng-Jin],
UniDetector: Towards Universal Object Detection With Heterogeneous
Supervision,
PAMI(47), No. 7, July 2025, pp. 5205-5222.
IEEE DOI
2506
BibRef
Earlier:
Detecting Everything in the Open World:
Towards Universal Object Detection,
CVPR23(11433-11443)
IEEE DOI
2309
Training, Detectors, Object detection, Vocabulary, Proposals,
Task analysis, Annotations, Heterogeneous label spaces,
open world and universal object detection
BibRef
Garosi, M.[Marco],
Conti, A.[Alessandro],
Liu, G.[Gaowen],
Ricci, E.[Elisa],
Mancini, M.[Massimiliano],
Compositional Caching for Training-free Open-vocabulary Attribute
Detection,
CVPR25(15098-15107)
IEEE DOI
2508
Training, Image color analysis, Databases, Annotations, Scalability,
Large language models, Refining, Predictive models,
vision-language models
BibRef
Hosoya, Y.[Yusuke],
Suganuma, M.[Masanori],
Okatani, T.[Takayuki],
Rethinking Open-Set Object Detection: Issues, A New Formulation, and
Taxonomy,
IJCV(133), No. 9, September 2025, pp. 6145-6169.
Springer DOI
2509
BibRef
Xie, J.H.[Jin-Heng],
Luo, Z.C.[Zhao-Chuan],
Li, R.[Rouyi],
Huang, Y.W.[Ya-Wen],
Liu, H.Z.[Hao-Zhe],
Li, Y.X.[Yue-Xiang],
Zheng, Y.F.[Ye-Feng],
Zhang, Y.[Yang],
Shen, L.L.[Lin-Lin],
Shou, M.Z.[Mike Zheng],
Open-world Weakly-Supervised Object Localization,
PR(169), 2026, pp. 111808.
Elsevier DOI Code:
WWW Link.
2509
Open-world visual recognition, Open-world object localization,
Weakly supervised learning, Contrastive learning
BibRef
Wang, S.J.[Shuo-Jie],
Song, Y.[Yu],
Xiang, J.J.[Jia-Jun],
Chen, Y.Y.[Yan-Yan],
Zhong, P.[Ping],
Fu, R.G.[Rui-Gang],
Mask-Guided Teacher-Student Learning for Open-Vocabulary Object
Detection in Remote Sensing Images,
RS(17), No. 19, 2025, pp. 3385.
DOI Link
2510
BibRef
Wu, A.[Aming],
Deng, C.[Cheng],
Towards OOD Object Detection With Unknown-Concept Guided Feature
Diffusion,
PAMI(47), No. 11, November 2025, pp. 9798-9812.
IEEE DOI
2510
Feature extraction, Training, Visualization, Object detection,
Diffusion models, Detectors, Degradation, Data mining, Testing, Stars,
unknown-concept guided diffusor
BibRef
Lin, J.Y.[Jia-Yi],
Sun, S.T.[Shi-Tong],
Gong, S.G.[Shao-Gang],
GridCLIP: One-stage object detection by grid-level CLIP
representation learning,
PR(171), 2026, pp. 112187.
Elsevier DOI
2511
Object detection, Open-vocabulary learning, Long-tail learning
BibRef
Fu, S.H.[Sheng-Hao],
Yan, J.K.[Jun-Kai],
Yang, Q.Z.[Qi-Ze],
Wei, X.[Xihan],
Xie, X.H.[Xiao-Hua],
Zheng, W.S.[Wei-Shi],
A Hierarchical Semantic Distillation Framework for Open-Vocabulary
Object Detection,
MultMed(27), 2025, pp. 8835-8846.
IEEE DOI
2511
Detectors, Semantics, Training, Object detection, Pipelines,
Annotations, Feature extraction, Proposals, Image color analysis,
knowledge distillation
BibRef
Ling, Q.[Qiying],
Li, Y.Y.[Yuan-Yuan],
An, Y.[Yiyao],
Zhu, Z.Q.[Zhi-Qin],
Li, P.L.[Peng-Long],
Open-set remote sensing object detection method based on semantic
space topological features,
PandRS(230), 2025, pp. 881-894.
Elsevier DOI Code:
WWW Link.
2511
Open-set detection, Hypergraph, Remote sensing images
BibRef
Ma, S.L.[Shuai-Lei],
Wang, Y.F.[Yue-Feng],
Wei, Y.[Ying],
Zhang, E.[Enming],
Fan, J.Q.[Jia-Qi],
Sun, X.Y.[Xin-Yu],
Chen, P.H.[Pei-Hao],
SKDF: A Simple Knowledge Distillation Framework for Distilling
Open-Vocabulary Knowledge to Open-World Object Detector,
PAMI(47), No. 12, December 2025, pp. 11738-11752.
IEEE DOI
2511
Object detection, Training, Detectors, Grounding, Annotations,
Decoding, Benchmark testing, Data models, Computational modeling,
decoupled cascade decoding structure
BibRef
Li, H.D.[Hua-Dong],
Open-Vocabulary Object Detection for High-Resolution Remote Sensing
Images,
CVIU(263), 2026, pp. 104566.
Elsevier DOI
2601
Open-vocabulary detection, Cascade knowledge distillation, Remote sensing
See also DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models.
BibRef
Ji, Y.Q.[Yu-Qi],
Ke, J.J.[Jun-Jie],
He, L.[Lihuo],
Wang, L.Z.[Li-Zhi],
Gao, X.B.[Xin-Bo],
Toward Adaptive Open-Set Object Detection via Category-Level
Collaboration Knowledge Mining,
IP(35), 2026, pp. 4134-4148.
IEEE DOI Code:
WWW Link.
2605
Filtering, Filters, Videos, Video equipment,
Location awareness, Telecommunications,
class auxiliary features
BibRef
Jiang, Q.[Qing],
Li, F.[Feng],
Zeng, Z.Y.[Zhao-Yang],
Ren, T.[Tianhe],
Liu, S.L.[Shi-Long],
Zhang, L.[Lei],
T-Rex2++: Toward Generic Object Perception via Text-Visual Prompt
Synergy,
PAMI(48), No. 7, July 2026, pp. 8678-8693.
IEEE DOI
2606
BibRef
Earlier:
T-REX2: Towards Generic Object Detection via Text-visual Prompt Synergy,
ECCV24(XXXIII: 38-57).
Springer DOI
2412
Visualization, Instance segmentation, Vocabulary, Training,
Semantics, Decoding, Grounding, Dogs, Object recognition,
zero-shot instance segmentation
BibRef
Pan, Y.K.[Yuan-Kang],
Yuan, Z.Q.[Zhao-Quan],
Wu, X.[Xiao],
Li, W.[Wei],
Luo, A.[Ao],
Xu, C.S.[Chang-Sheng],
Learning Unknowns Without Forgetting Knowns: Compositional and
Bidirectional Low-Rank Adaptive Open-World Detection Transformer,
CirSysVideo(36), No. 6, June 2026, pp. 7876-7893.
IEEE DOI
2606
Proposals, Object detection, Training, Annotations,
Adaptation models, Videos, Transformers, Detectors, Interference,
incremental learning
BibRef
Cai, Z.[Zhi],
Gao, Y.J.[Ying-Jie],
Zhang, Y.[Yanan],
Ma, X.Z.[Xin-Zhu],
Huang, D.[Di],
Towards Unbiased Source-Free Object Detection via Vision Foundation
Models,
PR(179), 2026, pp. 113545.
Elsevier DOI
2606
Source-free object detection, VFM, Knowledge distillation
BibRef
Wang, H.[Hao],
Jia, T.[Tong],
Deng, S.Z.[Shi-Zhuo],
Chen, D.[Dongyue],
Wang, Q.L.[Qi-Long],
Zuo, W.M.[Wang-Meng],
Global and Local Visual-Textual Alignment for Open Vocabulary Object
Detection,
IP(35), 2026, pp. 6305-6316.
IEEE DOI
2606
Visualization, Modeling, Object detection, Vocabulary, Training,
Detectors, Learning (artificial intelligence),
visual-textual alignment
BibRef
Zhang, G.Q.[Guo-Qing],
Yang, C.Y.[Chen-Yu],
Xia, L.[Lili],
Zheng, Y.H.[Yu-Hui],
Decoupling Localization and Semantics for Open-Set Object Detection,
CirSysVideo(36), No. 7, July 2026, pp. 9322-9335.
IEEE DOI
2607
Prototypes, Object detection, Training, Location awareness,
Semantics, Feature extraction, Proposals, Detectors,
contrastive learning
BibRef
Zhang, R.S.[Rui-Song],
Wu, X.J.[Xin-Jian],
Wang, C.[Chuang],
Liu, C.L.[Cheng-Lin],
Det-Agent: Open-Vocabulary Object Localization and Detection With
Reinforcement Learning Agent,
MultMed(28), 2026, pp. 5722-5735.
IEEE DOI
2607
Object detection, Location awareness, Proposals, Training, Detectors,
Visualization, Object recognition, Annotations, Feature extraction,
vision-language pre-trained models
BibRef
Li, J.M.[Jia-Ming],
Liang, Z.J.[Zhi-Jia],
Liu, S.Y.[Shuang-Yin],
Tang, C.P.[Cheng-Pei],
Li, G.B.[Guan-Bin],
GUIDED++: Enhancing Discrimination with Conjunctive Verification for
Fine-Grained Open-Vocabulary Object Detection,
IJCV(134), No. 8, August 2026, pp. 392.
Springer DOI
2608
BibRef
Xia, K.[Kewen],
Yue, X.D.[Xiao-Dong],
Liu, W.[Wei],
Wei, Z.P.[Zhi-Peng],
Zhu, J.X.[Jian-Xiang],
Yang, A.[Ao],
Peng, Y.X.[Ya-Xin],
Evidential Prior Guided Neural Collapse for Open World Object
Detection,
CirSysVideo(36), No. 8, August 2026, pp. 12140-12155.
IEEE DOI
2608
Filtering, Filters, Rectifiers, Videos, Video equipment,
Location awareness, Protocols, uncertainty estimation
BibRef
Lee, S.[Sunoh],
Jeon, M.[Minsik],
Min, J.H.[Ji-Hong],
Seo, J.[Junwon],
OW-Rep: Open World Object Detection with Instance Representation
Learning,
WACV26(339-349)
IEEE DOI
2609
Filtering, Filters, Location awareness,
Pixel, Protocols, open-world object detection,
knowledge distillation
BibRef
Ma, Q.[Qisen],
Huang, Y.[Yan],
Liu, Z.K.[Zi-Kun],
Park, H.[Hyunhee],
Wang, L.[Liang],
Hierarchical Multimodal Knowledge Matching for Training-Free
Open-Vocabulary Object Detection,
IP(35), 2026, pp. 9386-9399.
IEEE DOI Code:
WWW Link.
2609
Prototypes, Object detection, Visualization, Feature extraction,
Supervised learning, Training, Detectors, Brain modeling, Vocabulary,
multi-modal learning
BibRef
Xin, Z.M.[Zhi-Meng],
Wu, T.X.[Tian-Xu],
Zou, Y.X.[Yi-Xiong],
Chen, S.M.[Shi-Ming],
Peng, Q.[Qinmu],
You, X.G.[Xin-Ge],
Language-Inspired Unknown-Space Expansion for Few-Shot Open-Set
Detection,
MultMed(28), 2026, pp. 7697-7708.
IEEE DOI
2610
Feature extraction, Training, Data models, Object detection,
Transforms, Uncertainty, Proposals, Semantics, Large language models,
open-set detection
BibRef
Li, Y.K.[Yu-Kun],
Deng, Y.Z.[Yan-Zhe],
Suo, W.[Wei],
Wang, J.[Ji],
Wang, P.[Peng],
Unlocking the potential of open-vocabulary detectors for
visual-prompted object detection,
PR(182), 2027, pp. 114824.
nn
Elsevier DOI
2610
Visual prompt, Object detection, Open-vocabulary detectors
BibRef
Song, J.[Jialun],
Li, Y.M.[Yi-Ming],
Du, L.[Lan],
Chen, J.[Jian],
Guo, Y.C.[Yu-Chen],
Open set prototypical network based on hard unknown class generation
for object recognition,
PR(182), 2027, pp. 114704.
Elsevier DOI
2610
Open set recognition, Unknown class generation,
Prototypical network, Generative adversarial network
BibRef
Zhang, Z.[Zihao],
Wu, A.[Aming],
Li, Y.[Yang],
Han, Y.[Yahong],
Prototype-Anchored Generalized Manifold Regression for Unknown-Domain
Object Detection,
PAMI(48), No. 11, November 2026, pp. 14281-14298.
IEEE DOI
2610
Manifolds, Modeling, Visualization, Prototypes, Computers,
Object detection, Training, Diffusion models,
vision language models
BibRef
Yang, M.[Muli],
Goenawan, G.J.[Gabriel James],
Qin, H.Y.[Huai-Yuan],
Han, K.[Kai],
Peng, X.[Xi],
Yang, Y.H.[Yan-Hua],
Zhu, H.Y.[Hong-Yuan],
Detecting Open World Objects via Partial Attribute Assignment,
CVPR25(20318-20328)
IEEE DOI
2508
Training, Visualization, Schedules, Foundation models, Taxonomy,
Object detection, Stability analysis, Thermal stability, multimodal learning
BibRef
Zhang, Z.[Zihao],
Wu, A.[Aming],
Han, Y.[Yahong],
Style Evolving along Chain-of-Thought for Unknown-Domain Object
Detection,
CVPR25(14225-14234)
IEEE DOI Code:
WWW Link.
2508
Training, Adaptation models, Rain, Refining, Prototypes,
Object detection, Benchmark testing, Performance gain, Data models
BibRef
Zhang, S.[Shan],
Ni, Y.[Yao],
Du, J.H.[Jin-Hao],
Xue, Y.[Yuan],
Torr, P.[Philip],
Koniusz, P.[Piotr],
van den Hengel, A.J.[Anton J.],
Open-World Objectness Modeling Unifies Novel Object Detection,
CVPR25(30332-30342)
IEEE DOI
2508
Adaptation models, Uncertainty, Zero shot learning, Training data,
Object detection, Filtering theory, Data models, Object recognition
BibRef
Shen, Q.Q.[Qian-Qian],
Zhao, Y.H.[Yun-Han],
Kwon, N.[Nahyun],
Kim, J.[Jeeeun],
Li, Y.[Yanan],
Kong, S.[Shu],
Solving Instance Detection from an Open-World Perspective,
CVPR25(9901-9910)
IEEE DOI
2508
Training, Measurement, Visualization,
Foundation models, Feature extraction, Data augmentation,
open world learning
BibRef
Wu, A.[Aming],
Deng, C.[Cheng],
Percept, Memory, and Imagine: World Feature Simulating for
Open-Domain Unknown Object Detection,
CVPR25(4682-4691)
IEEE DOI Code:
WWW Link.
2508
Codes, Semantics, Object detection, Detectors, Performance gain,
Feature extraction, Generators
BibRef
Fu, S.H.[Sheng-Hao],
Yang, Q.Z.[Qi-Ze],
Mo, Q.J.[Qi-Jie],
Yan, J.K.[Jun-Kai],
Wei, X.[Xihan],
Meng, J.[Jingke],
Xie, X.H.[Xiao-Hua],
Zheng, W.S.[Wei-Shi],
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the
Supervision of Large Language Models,
CVPR25(14987-14997)
IEEE DOI Code:
WWW Link.
2508
Training, Codes, Grounding, Large language models,
Computational modeling, Detectors, Benchmark testing, Standards
BibRef
Li, Y.K.[Yong-Kang],
Cheng, T.H.[Tian-Heng],
Feng, B.[Bin],
Liu, W.Y.[Wen-Yu],
Wang, X.G.[Xing-Gang],
Mask-Adapter: The Devil is in the Masks for Open-Vocabulary
Segmentation,
CVPR25(14998-15008)
IEEE DOI Code:
WWW Link.
2508
Training, Image segmentation, Accuracy, Semantics, Predictive models,
Performance gain, Benchmark testing, Feature extraction, Proposals,
multimodal models
BibRef
Cheng, T.H.[Tian-Heng],
Song, L.[Lin],
Ge, Y.X.[Yi-Xiao],
Liu, W.Y.[Wen-Yu],
Wang, X.G.[Xing-Gang],
Shan, Y.[Ying],
YOLO-World: Real-Time Open-Vocabulary Object Detection,
CVPR24(16901-16911)
IEEE DOI Code:
WWW Link.
2410
YOLO, Instance segmentation, Visualization, Grounding, Detectors,
Object detection, YOLO
BibRef
Gouidis, F.[Filippos],
Papoutsakis, K.[Konstantinos],
Patkos, T.[Theodore],
Argyros, A.[Antonis],
Plexousakis, D.[Dimitris],
Recognizing Unseen States of Unknown Objects by Leveraging Knowledge
Graphs,
WACV25(8648-8659)
IEEE DOI
2505
Training, Visualization, Zero shot learning, Estimation,
Knowledge graphs, Benchmark testing, Graph neural networks,
graph neural networks
BibRef
Inoue, R.[Riku],
Tsuchiya, M.[Masamitsu],
Yasui, Y.[Yuji],
Decoupled PROB: Decoupled Query Initialization Tasks and
Objectness-Class Learning for Open World Object Detection,
WACV25(8207-8216)
IEEE DOI
2505
Measurement, Object detection, Detectors, Predictive models,
Probabilistic logic, Feature extraction, Transformers, Standards,
transformer
BibRef
Levi, H.[Hila],
Heller, G.[Guy],
Levi, D.[Dan],
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval,
WACV25(8968-8979)
IEEE DOI
2505
Training, Vocabulary, Image segmentation, Accuracy, Head,
Image synthesis, Large language models, Image retrieval, Standards
BibRef
Wang, K.[Kuo],
Cheng, L.C.[Le-Chao],
Chen, W.K.[Wei-Kai],
Zhang, P.P.[Ping-Ping],
Lin, L.[Liang],
Zhou, F.[Fan],
Li, G.B.[Guan-Bin],
Marvelovd: Marrying Object Recognition and Vision-language Models for
Robust Open-vocabulary Object Detection,
ECCV24(XVII: 106-122).
Springer DOI
2412
BibRef
Peng, X.Y.[Xing-Yu],
Bai, Y.[Yan],
Gao, C.[Chen],
Yang, L.R.[Li-Rong],
Xia, F.[Fei],
Mu, B.[Beipeng],
Wang, X.F.[Xiao-Fei],
Liu, S.[Si],
Global-local Collaborative Inference with Llm for Lidar-based
Open-vocabulary Detection,
ECCV24(XXXV: 367-384).
Springer DOI
2412
BibRef
Li, W.Y.[Wu-Yang],
Liu, X.Y.[Xin-Yu],
Ma, J.Y.[Jia-Yi],
Yuan, Y.X.[Yi-Xuan],
Cliff: Continual Latent Diffusion for Open-vocabulary Object Detection,
ECCV24(LV: 255-273).
Springer DOI
2412
BibRef
Luo, S.[Sheng],
Zhou, Y.[Yi],
Open World Object Detection Via Cooperative Foundation Models for
Driving Scenes,
ICIP24(729-735)
IEEE DOI
2411
Measurement, Incremental learning, Object detection, Detectors,
Benchmark testing, Inference algorithms,
Driving Scenes
BibRef
Zhao, S.Y.[Shi-Yu],
Schulter, S.[Samuel],
Zhao, L.[Long],
Zhang, Z.X.[Zhi-Xing],
Kumar, B.G.V.[B G Vijay],
Suh, Y.M.[Yu-Min],
Chandraker, M.[Manmohan],
Metaxas, D.N.[Dimitris N.],
Taming Self-Training for Open-Vocabulary Object Detection,
CVPR24(13938-13947)
IEEE DOI Code:
WWW Link.
2410
Training, Computational modeling, Noise, Training data,
Object detection, self-training
BibRef
Zhang, H.[Heng],
Zhao, Q.Y.[Qiu-Yu],
Zheng, L.[Linyu],
Zeng, H.[Hao],
Ge, Z.W.[Zhi-Wei],
Li, T.H.[Tian-Hao],
Xu, S.[Sulong],
Exploring Region-Word Alignment in Built-in Detector for
Open-Vocabulary Object Detection,
CVPR24(16975-16984)
IEEE DOI
2410
Training, Object detection, Detectors, Benchmark testing, Feature extraction,
Decoding, Open-vocabulary object detection, Region-word alignment
BibRef
Fang, K.P.[Kai-Peng],
Song, J.K.[Jing-Kuan],
Gao, L.L.[Lian-Li],
Zeng, P.P.[Peng-Peng],
Cheng, Z.Q.[Zhi-Qi],
Li, X.Y.[Xi-Yao],
Shen, H.T.[Heng Tao],
ProS: Prompting-to-Simulate Generalized Knowledge for Universal
Cross-Domain Retrieval,
CVPR24(17292-17301)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Codes, Computational modeling,
Semantics, Benchmark testing, Image Retrieval, Open-Set
BibRef
Lin, C.[Chuang],
Jiang, Y.[Yi],
Qu, L.Z.[Li-Zhen],
Yuan, Z.H.[Ze-Huan],
Cai, J.F.[Jian-Fei],
Generative Region-Language Pretraining for Open-Ended Object
Detection,
CVPR24(13958-13968)
IEEE DOI Code:
WWW Link.
2410
Training, Deformable models, Vocabulary, Visualization,
Training data, Object detection, Particle measurements
BibRef
Sun, Z.C.[Zhi-Cheng],
Li, J.H.[Jing-Han],
Mu, Y.D.[Ya-Dong],
Exploring Orthogonality in Open World Object Detection,
CVPR24(17302-17312)
IEEE DOI
2410
Training, Incremental learning, Object detection, Interference,
Benchmark testing, Feature extraction, Decorrelation, morthogonality
BibRef
Bianchi, L.[Lorenzo],
Carrara, F.[Fabio],
Messina, N.[Nicola],
Gennaro, C.[Claudio],
Falchi, F.[Fabrizio],
The Devil is in the Fine-Grained Details: Evaluating open-Vocabulary
Object Detectors for Fine-Grained Understanding,
CVPR24(22520-22529)
IEEE DOI Code:
WWW Link.
2410
Measurement, Vocabulary, Visualization, Protocols, Detectors,
Object detection, Benchmark testing, open-vocabulary detection, benchmark
BibRef
Yao, L.W.[Le-Wei],
Pi, R.J.[Ren-Jie],
Han, J.H.[Jian-Hua],
Liang, X.D.[Xiao-Dan],
Xu, H.[Hang],
Zhang, W.[Wei],
Li, Z.G.[Zhen-Guo],
Xu, D.[Dan],
DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object
Detection,
CVPR24(5610-5619)
IEEE DOI
2410
Training, Visualization, Head, Large language models, Pipelines,
Detectors, Open-vocabulary object detection, Multi-modal learning
BibRef
Sarkar, H.[Hiran],
Chudasama, V.[Vishal],
Onoe, N.[Naoyuki],
Wasnik, P.[Pankaj],
Balasubramanian, V.N.[Vineeth N.],
Open-Set Object Detection By Aligning Known Class Representations,
WACV24(218-227)
IEEE DOI
2404
Measurement, Computational modeling, Semantics, Object detection,
Harmonic analysis, Decorrelation, Algorithms
BibRef
Wang, Y.H.[Yang-Hao],
Yue, Z.Q.[Zhong-Qi],
Hua, X.S.[Xian-Sheng],
Zhang, H.W.[Han-Wang],
Random Boxes Are Open-world Object Detectors,
ICCV23(6210-6220)
IEEE DOI Code:
WWW Link.
2401
BibRef
Fan, K.[Ke],
Bai, Z.C.[Ze-Chen],
Xiao, T.J.[Tian-Jun],
He, T.[Tong],
Horn, M.[Max],
Fu, Y.W.[Yan-Wei],
Locatello, F.[Francesco],
Zhang, Z.[Zheng],
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number,
CVPR24(23062-23071)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Attention mechanisms,
Computational modeling, Feature extraction, Decoding,
object-centric learning
BibRef
Fan, K.[Ke],
Bai, Z.C.[Ze-Chen],
Xiao, T.J.[Tian-Jun],
Zietlow, D.[Dominik],
Horn, M.[Max],
Zhao, Z.X.[Zi-Xu],
Simon-Gabriel, C.J.[Carl-Johann],
Shou, M.Z.[Mike Zheng],
Locatello, F.[Francesco],
Schiele, B.[Bernt],
Brox, T.[Thomas],
Zhang, Z.[Zheng],
Fu, Y.W.[Yan-Wei],
He, T.[Tong],
Unsupervised Open-Vocabulary Object Localization in Videos,
ICCV23(13701-13709)
IEEE DOI
2401
BibRef
Pratt, S.[Sarah],
Covert, I.[Ian],
Liu, R.[Rosanne],
Farhadi, A.[Ali],
What does a platypus look like? Generating customized prompts for
zero-shot image classification,
ICCV23(15645-15655)
IEEE DOI Code:
WWW Link.
2401
BibRef
Shi, C.[Cheng],
Yang, S.[Sibei],
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment,
ICCV23(15678-15688)
IEEE DOI
2401
BibRef
Li, W.Y.[Wu-Yang],
Guo, X.Q.[Xiao-Qing],
Yuan, Y.X.[Yi-Xuan],
Novel Scenes & Classes: Towards Adaptive Open-set Object
Detection,
ICCV23(15734-15744)
IEEE DOI Code:
WWW Link.
2401
BibRef
Bao, Z.P.[Zhi-Peng],
Tokmakov, P.[Pavel],
Wang, Y.X.[Yu-Xiong],
Gaidon, A.[Adrien],
Hebert, M.[Martial],
Object Discovery from Motion-Guided Tokens,
CVPR23(22972-22981)
IEEE DOI
2309
BibRef
Yang, T.Y.[Tian-Yun],
Wang, D.D.[Dan-Ding],
Tang, F.[Fan],
Zhao, X.Y.[Xin-Ying],
Cao, J.[Juan],
Tang, S.[Sheng],
Progressive Open Space Expansion for Open-Set Model Attribution,
CVPR23(15856-15865)
IEEE DOI
2309
BibRef
Li, J.M.[Jia-Ming],
Zhang, J.C.[Jia-Cheng],
Li, J.C.[Ji-Chang],
Li, G.[Ge],
Liu, S.[Si],
Lin, L.[Liang],
Li, G.B.[Guan-Bin],
Learning Background Prompts to Discover Implicit Knowledge for Open
Vocabulary Object Detection,
CVPR24(16678-16687)
IEEE DOI
2410
Vocabulary, Face recognition, Detectors, Object detection,
Benchmark testing, Proposals
BibRef
Wang, L.T.[Lu-Ting],
Liu, Y.[Yi],
Du, P.H.[Peng-Hui],
Ding, Z.H.[Zi-Han],
Liao, Y.[Yue],
Qi, Q.S.[Qiao-Song],
Chen, B.L.[Biao-Long],
Liu, S.[Si],
Object-Aware Distillation Pyramid for Open-Vocabulary Object
Detection,
CVPR23(11186-11196)
IEEE DOI
2309
BibRef
Zohar, O.[Orr],
Wang, K.C.[Kuan-Chieh],
Yeung, S.[Serena],
PROB: Probabilistic Objectness for Open World Object Detection,
CVPR23(11444-11453)
IEEE DOI
2309
BibRef
Xu, M.J.[Ming-Jun],
Qin, L.Y.[Ling-Yun],
Chen, W.J.[Wei-Jie],
Pu, S.L.[Shi-Liang],
Zhang, L.[Lei],
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for
Object Detection in Unseen Domains,
CVPR23(8103-8112)
IEEE DOI
2309
BibRef
Oin, J.[Jie],
Wu, J.[Jie],
Yan, P.X.[Peng-Xiang],
Li, M.[Ming],
Yu-Xi, R.[Ren],
Xiao, X.F.[Xue-Feng],
Wang, Y.T.[Yi-Tong],
Wang, R.[Rui],
Wen, S.L.[Shi-Lei],
Pan, X.[Xin],
Wang, X.G.[Xin-Gang],
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation,
CVPR23(19446-19455)
IEEE DOI
2309
BibRef
Ma, S.L.[Shuai-Lei],
Wang, Y.F.[Yue-Feng],
Wei, Y.[Ying],
Fan, J.Q.[Jia-Qi],
Li, T.H.[Thomas H.],
Liu, H.L.[Hong-Li],
Lv, F.[Fanbing],
CAT: LoCalization and IdentificAtion Cascade Detection Transformer
for Open-World Object Detection,
CVPR23(19681-19690)
IEEE DOI
2309
BibRef
Wu, S.[Size],
Zhang, W.W.[Wen-Wei],
Jin, S.[Sheng],
Liu, W.T.[Wen-Tao],
Loy, C.C.[Chen Change],
Aligning Bag of Regions for Open-Vocabulary Object Detection,
CVPR23(15254-15264)
IEEE DOI
2309
BibRef
Zhao, L.[Long],
Yuan, L.Z.[Liang-Zhe],
Gong, B.Q.[Bo-Qing],
Cui, Y.[Yin],
Schroff, F.[Florian],
Yang, M.H.[Ming-Hsuan],
Adam, H.[Hartwig],
Liu, T.[Ting],
Unified Visual Relationship Detection with Vision and Language Models,
ICCV23(6939-6950)
IEEE DOI
2401
BibRef
Zhao, S.Y.[Shi-Yu],
Zhang, Z.X.[Zhi-Xing],
Schulter, S.[Samuel],
Zhao, L.[Long],
Kumar, B.G.V.[B.G Vijay],
Stathopoulos, A.[Anastasis],
Chandraker, M.[Manmohan],
Metaxas, D.N.[Dimitris N.],
Exploiting Unlabeled Data with Vision and Language Models for Object
Detection,
ECCV22(IX:159-175).
Springer DOI
2211
WWW Link.
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Ghiasi, G.[Golnaz],
Gu, X.[Xiuye],
Cui, Y.[Yin],
Lin, T.Y.[Tsung-Yi],
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels,
ECCV22(XXXVI:540-557).
Springer DOI
2211
BibRef
Feng, C.J.[Cheng-Jian],
Zhong, Y.J.[Yu-Jie],
Jie, Z.Q.[Ze-Qun],
Chu, X.X.[Xiang-Xiang],
Ren, H.B.[Hai-Bing],
Wei, X.L.[Xiao-Lin],
Xie, W.[Weidi],
Ma, L.[Lin],
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images,
ECCV22(IX:701-717).
Springer DOI
2211
BibRef
Wu, Z.H.[Zhi-Heng],
Lu, Y.[Yue],
Chen, X.Y.[Xing-Yu],
Wu, Z.X.[Zheng-Xing],
Kang, L.W.[Li-Wen],
Yu, J.Z.[Jun-Zhi],
UC-OWOD: Unknown-Classified Open World Object Detection,
ECCV22(X:193-210).
Springer DOI
2211
BibRef
Gao, M.F.[Ming-Fei],
Xing, C.[Chen],
Niebles, J.C.[Juan Carlos],
Li, J.[Junnan],
Xu, R.[Ran],
Liu, W.H.[Wen-Hao],
Xiong, C.M.[Cai-Ming],
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels,
ECCV22(X:266-282).
Springer DOI
2211
BibRef
Minderer, M.[Matthias],
Gritsenko, A.[Alexey],
Stone, A.[Austin],
Neumann, M.[Maxim],
Weissenborn, D.[Dirk],
Dosovitskiy, A.[Alexey],
Mahendran, A.[Aravindh],
Arnab, A.[Anurag],
Dehghani, M.[Mostafa],
Shen, Z.R.[Zhuo-Ran],
Wang, X.[Xiao],
Zhai, X.H.[Xiao-Hua],
Kipf, T.[Thomas],
Houlsby, N.[Neil],
Simple Open-Vocabulary Object Detection,
ECCV22(X:728-755).
Springer DOI
2211
BibRef
Lin, Y.T.[Yu-Tong],
Li, C.[Chen],
Cao, Y.[Yue],
Zhang, Z.[Zheng],
Wang, J.F.[Jian-Feng],
Wang, L.J.[Li-Juan],
Liu, Z.C.[Zi-Cheng],
Hu, H.[Han],
A Simple Approach and Benchmark for 21,000-Category Object Detection,
ECCV22(XI:1-18).
Springer DOI
2211
BibRef
Zheng, J.Y.[Ji-Yang],
Li, W.H.[Wei-Hao],
Hong, J.[Jie],
Petersson, L.[Lars],
Barnes, N.M.[Nick M.],
Towards Open-Set Object Detection and Discovery,
L3D-IVU22(3960-3969)
IEEE DOI
2210
Visualization, Protocols, Object detection, Detectors, Human in the loop
BibRef
Han, J.M.[Jia-Ming],
Ren, Y.Q.[Yu-Qiang],
Ding, J.[Jian],
Pan, X.J.[Xing-Jia],
Yan, K.[Ke],
Xia, G.S.[Gui-Song],
Expanding Low-Density Latent Regions for Open-Set Object Detection,
CVPR22(9581-9590)
IEEE DOI
2210
Measurement, Uncertainty, Codes, Detectors, Object detection,
Benchmark testing, Recognition: detection, categorization, retrieval
BibRef
Liu, Y.C.[Yen-Cheng],
Ma, C.Y.[Chih-Yao],
Dai, X.L.[Xiao-Liang],
Tian, J.J.[Jun-Jiao],
Vajda, P.[Peter],
He, Z.J.[Zi-Jian],
Kira, Z.[Zsolt],
Open-Set Semi-Supervised Object Detection,
ECCV22(XXX:143-159).
Springer DOI
2211
BibRef
Zareian, A.[Alireza],
Rosa, K.D.[Kevin Dela],
Hu, D.H.[Derek Hao],
Chang, S.F.[Shih-Fu],
Open-Vocabulary Object Detection Using Captions,
CVPR21(14388-14397)
IEEE DOI
2111
Location awareness, Training, Deep learning, Costs,
Annotations, Object detection
BibRef
Joseph, K.J.,
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Balasubramanian, V.N.[Vineeth N.],
Towards Open World Object Detection,
CVPR21(5826-5836)
IEEE DOI
2111
Protocols, Computational modeling,
Object detection, Detectors, Benchmark testing
BibRef
Saito, K.[Kuniaki],
Hu, P.[Ping],
Darrell, T.J.[Trevor J.],
Saenko, K.[Kate],
Learning to Detect Every Thing in an Open World,
ECCV22(XXIV:268-284).
Springer DOI
2211
BibRef
Lu, S.[Song],
Mahadevan, V.[Vijay],
Vasconcelos, N.M.[Nuno M.],
Learning Optimal Seeds for Diffusion-Based Salient Object Detection,
CVPR14(2790-2797)
IEEE DOI
1409
diffusion;salient object;seed
BibRef
Jiang, P.,
Vasconcelos, N.,
Peng, J.,
Generic Promotion of Diffusion-Based Salient Object Detection,
ICCV15(217-225)
IEEE DOI
1602
Algorithm design and analysis
BibRef
Novotny, D.[David],
Matas, J.G.[Jiri G.],
Cascaded Sparse Spatial Bins for Efficient and Effective Generic
Object Detection,
ICCV15(1152-1160)
IEEE DOI
1602
Detectors based on HoG.
BibRef
Zou, W.[Will],
Wang, X.Y.[Xiao-Yu],
Sun, M.[Miao],
Lin, Y.Q.[Yuan-Qing],
Generic Object Detection with Dense Neural Patterns and Regionlets,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Siva, P.[Parthipan],
Russell, C.[Chris],
Xiang, T.[Tao],
Agapito, L.[Lourdes],
Looking Beyond the Image:
Unsupervised Learning for Object Saliency and Detection,
CVPR13(3238-3245)
IEEE DOI
1309
Generic Object Detection; Object Saliency; Weakly Supervised Learning
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Long-Tailed Object Detection .