Mikolajczyk, K.[Krystian],
Tuytelaars, T.[Tinne],
Schmid, C.,
Zisserman, A.,
Matas, J.G.,
Schaffalitzky, F.,
Kadir, T.,
Van Gool, L.J.,
A Comparison of Affine Region Detectors,
IJCV(65), No. 1-2, November 2005, pp. 43-72.
Springer DOI
0604
Six types of detectors are included:
detectors based on affine normalization around Harris (
See also Scale and Affine Invariant Interest Point Detectors. );
(
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
Intensity extrema (
See also Matching Widely Separated Views Based on Affine Invariant Regions. ),
Salient regions (
See also Affine Invariant Salient Region Detector, An. ).
BibRef
Seo, H.J.[Hae Jong],
Milanfar, P.[Peyman],
Training-Free, Generic Object Detection Using Locally Adaptive
Regression Kernels,
PAMI(32), No. 9, September 2010, pp. 1688-1704.
IEEE DOI
1008
BibRef
Earlier:
Using local regression kernels for statistical object detection,
ICIP08(2380-2383).
IEEE DOI
0810
Detection-locaization to search without training. Single example of the
object of interest to find similar matches. Local regression kernels.
BibRef
Alexe, B.[Bogdan],
Deselaers, T.[Thomas],
Ferrari, V.[Vittorio],
Measuring the Objectness of Image Windows,
PAMI(34), No. 11, November 2012, pp. 2189-2202.
IEEE DOI
1209
BibRef
Earlier:
What is an object?,
CVPR10(73-80).
IEEE DOI
1006
BibRef
And:
ClassCut for Unsupervised Class Segmentation,
ECCV10(V: 380-393).
Springer DOI
1009
BibRef
And: A2, A1, A3:
Localizing Objects While Learning Their Appearance,
ECCV10(IV: 452-466).
Springer DOI
1009
Does an image window contain an object (any object).
A generic object measure. Objects with well defined boundaries vs.
amorphous background elements.
BibRef
Deselaers, T.[Thomas],
Ferrari, V.[Vittorio],
Visual and semantic similarity in ImageNet,
CVPR11(1777-1784).
IEEE DOI
1106
BibRef
Earlier:
Global and efficient self-similarity for object classification and
detection,
CVPR10(1633-1640).
IEEE DOI Video of talk:
WWW Link.
1006
BibRef
Deselaers, T.[Thomas],
Alexe, B.[Bogdan],
Ferrari, V.[Vittorio],
Weakly Supervised Localization and Learning with Generic Knowledge,
IJCV(100), No. 3, December 2012, pp. 275-293.
WWW Link.
1210
BibRef
Pan, H.[Hong],
Zhu, Y.P.[Ya-Ping],
Xia, L.Z.[Liang-Zheng],
Efficient and accurate face detection using heterogeneous feature
descriptors and feature selection,
CVIU(117), No. 1, January 2013, pp. 12-28.
Elsevier DOI
1212
BibRef
Earlier:
Fusing multi-feature representation and PSO-Adaboost based feature
selection for reliable frontal face detection,
ICIP13(2998-3002)
IEEE DOI
1402
Cascade classifiers
Face detection; PSO; Adaboost; Feature selection; Cascade classifier
BibRef
Pan, H.[Hong],
Zhu, Y.P.[Ya-Ping],
Qin, A.K.,
Xia, L.Z.[Liang-Zheng],
Mining heterogeneous class-specific codebook for categorical object
detection and classification,
ICIP13(3132-3136)
IEEE DOI
1402
Class-specific codebook
BibRef
Pan, H.[Hong],
Olsen, S.I.[Søren Ingvor],
Zhu, Y.P.[Ya-Ping],
Feature representation of RGB-D images using joint spatial-depth
feature pooling,
PRL(80), No. 1, 2016, pp. 239-248.
Elsevier DOI
1609
BibRef
Earlier:
Object classification from RGB-D images using depth context kernel
descriptors,
ICIP15(512-516)
IEEE DOI
1512
BibRef
Earlier:
Joint Spatial-Depth Feature Pooling for RGB-D Object Classification,
SCIA15(314-326).
Springer DOI
1506
BibRef
Earlier:
Object Classification and Detection with Context Kernel Descriptors,
CIARP14(827-835).
Springer DOI
1411
RGB-D feature representation.
Context cue
BibRef
Pan, H.[Hong],
Zhu, Y.P.[Ya-Ping],
Xia, S.[Siyu],
Qin, K.[Kai],
Improved generic categorical object detection fusing depth cue with 2D
appearance and shape features,
ICPR12(1467-1470).
WWW Link.
1302
BibRef
Pan, H.[Hong],
Xia, L.Z.[Liang-Zheng],
Nguyen, T.Q.[Truong Q.],
Robust object detection scheme using feature selection,
ICIP10(849-852).
IEEE DOI
1009
BibRef
Torrent, A.[Albert],
Lladó, X.[Xavier],
Freixenet, J.[Jordi],
Torralba, A.B.[Antonio B.],
A boosting approach for the simultaneous detection and segmentation
of generic objects,
PRL(34), No. 13, 2013, pp. 1490-1498.
Elsevier DOI
1307
BibRef
Earlier:
Simultaneous detection and segmentation for generic objects,
ICIP11(653-656).
IEEE DOI
1201
Object detection.
General framework, not just one kind of object.
BibRef
Torrent, A.[Albert],
Llado, X.[Xavier],
Freixenet, J.[Jordi],
Semiautomatic labeling of generic objects for enlarging annotated image
databases,
ICIP12(2889-2892).
IEEE DOI
1302
BibRef
Wang, X.Y.[Xiao-Yu],
Yang, M.[Ming],
Zhu, S.H.[Sheng-Huo],
Lin, Y.Q.[Yuan-Qing],
Regionlets for Generic Object Detection,
PAMI(37), No. 10, October 2015, pp. 2071-2084.
IEEE DOI
1509
BibRef
Earlier:
ICCV13(17-24)
IEEE DOI
1403
Boosting.
DPM
BibRef
Liu, L.[Li],
Ouyang, W.L.[Wan-Li],
Wang, X.G.[Xiao-Gang],
Fieguth, P.W.[Paul W.],
Chen, J.[Jie],
Liu, X.W.[Xin-Wang],
Pietikäinen, M.[Matti],
Deep Learning for Generic Object Detection: A Survey,
IJCV(128), No. 2, February 2020, pp. 261-318.
Springer DOI
2002
Survey, Generic Object Detecion.
BibRef
Lin, F.[Feng],
Hu, W.Z.[Wen-Ze],
Wang, Y.W.[Yao-Wei],
Tian, Y.H.[Yong-Hong],
Lu, G.M.[Guang-Ming],
Chen, F.L.[Fang-Lin],
Xu, Y.[Yong],
Wang, X.Y.[Xiao-Yu],
Universal Object Detection with Large Vision Model,
IJCV(132), No. 4, April 2024, pp. 1258-1276.
Springer DOI
2404
Code:
WWW Link.
BibRef
Wu, S.[Shuang],
Pei, W.J.[Wen-Jie],
Mei, D.[Dianwen],
Chen, F.L.[Fang-Lin],
Tian, J.D.[Jian-Dong],
Lu, G.M.[Guang-Ming],
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot
Object Detection,
ECCV22(IX:578-594).
Springer DOI
2211
BibRef
Chen, Y.[Yu],
Ma, L.Y.[Li-Yan],
Jing, L.P.[Li-Ping],
Yu, J.[Jian],
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online
Open World Object Detection,
PR(152), 2024, pp. 110472.
Elsevier DOI
2405
Online incremental learning, Open world object detection,
Catastrophic forgetting, Prototype-based perturbation
BibRef
Zhao, X.W.[Xiao-Wei],
Ma, Y.Q.[Yu-Qing],
Wang, D.[Duorui],
Shen, Y.F.[Yi-Fan],
Qiao, Y.X.[Yi-Xuan],
Liu, X.L.[Xiang-Long],
Revisiting Open World Object Detection,
CirSysVideo(34), No. 5, May 2024, pp. 3496-3509.
IEEE DOI
2405
Object detection, Task analysis, Benchmark testing, Measurement,
Proposals, Training, Labeling, Open world, object detection,
class-specific expelling classifier
BibRef
Shi, H.C.[Heng-Can],
Hayat, M.[Munawar],
Cai, J.F.[Jian-Fei],
Unified Open-Vocabulary Dense Visual Prediction,
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
BibRef
Lu, F.[Feng],
Xu, Y.C.[You Chun],
Qi, Y.[Yao],
Xie, D.S.[De Sheng],
Li, Y.L.[Yogn Le],
BSMH: Cross-dataset object detection based on box-separated
multiple-head,
IET-IPR(18), No. 11, 2024, pp. 3013-3027.
DOI Link
2409
object detection
BibRef
Chen, K.Y.[Ke-Yan],
Jiang, X.L.[Xiao-Long],
Wang, H.C.[Hao-Chen],
Yan, C.L.[Ci-Lin],
Gao, Y.[Yan],
Tang, X.[Xu],
Hu, Y.[Yao],
Xie, W.D.[Wei-Di],
OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition,
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
Xu, Y.F.[Yi-Fan],
Zhang, M.[Mengdan],
Yang, X.S.[Xiao-Shan],
Xu, C.S.[Chang-Sheng],
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object
Detection,
IP(33), 2024, pp. 6253-6267.
IEEE DOI
2411
Transformers, Visualization, Detectors, Object detection, Context modeling,
Proposals, Location awareness, Annotations, contextual knowledge
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.[Xinghong],
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)
BibRef
Zang, Y.H.[Yu-Hang],
Li, W.[Wei],
Han, J.[Jun],
Zhou, K.Y.[Kai-Yang],
Loy, C.C.[Chen Change],
Contextual Object Detection with Multimodal Large Language Models,
IJCV(133), No. 2, February 2025, pp. 825-843.
Springer DOI
2502
See also Towards Language-Driven Video Inpainting via Multimodal Large Language Models.
BibRef
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
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, Frequency modulation, 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.[Mengyin],
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
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
Jiang, Q.[Qing],
Li, F.[Feng],
Zeng, Z.Y.[Zhao-Yang],
Ren, T.[Tianhe],
Liu, S.L.[Shi-Long],
Zhang, L.[Lei],
T-REX2: Towards Generic Object Detection via Text-visual Prompt Synergy,
ECCV24(XXXIII: 38-57).
Springer DOI
2412
BibRef
Wang, K.[Kuo],
Cheng, L.[Lechao],
Chen, W.[Weikai],
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.[Lianli],
Zeng, P.P.[Peng-Peng],
Cheng, Z.Q.[Zhi-Qi],
Li, X.[Xiyao],
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.[Lizhen],
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
Zhao, X.W.[Xiao-Wei],
Liu, X.L.[Xiang-Long],
Wang, D.[Duorui],
Gao, Y.J.[Ya-Jun],
Liu, Z.[Zhide],
Scene-adaptive and Region-aware Multi-modal Prompt for Open
Vocabulary Object Detection,
CVPR24(16741-16750)
IEEE DOI
2410
Vocabulary, Visualization, Adaptation models, Semantics, Detectors,
Object detection, Linguistics, open vocabulary object detection,
scene-adaptive prompts
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.
BibRef
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
Saito, K.[Kuniaki],
Ushiku, Y.[Yoshitaka],
Harada, T.[Tatsuya],
Saenko, K.[Kate],
Strong-Weak Distribution Alignment for Adaptive Object Detection,
CVPR19(6949-6958).
IEEE DOI
2002
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
Dense Object Detection .