13.4.6 Object Recognition, Retrieval Datasets

Chapter Contents (Back)
Evaluation, Recognition. Dataset, Objects. Dataset, Retrieval.
See also Visual Question Answering, Query, VQA.
See also Object Recognition Evaluation.

The PASCAL Object Recognition Database Collection,
2006. Dataset, Objects.
HTML Version. Various datasets for object recognition. Pointers to some of the others.

MSR VTT Dataset,
A Large Video Description Dataset for Bridging Video and Language. WWW Link.
Dataset, Visual Question Answering.
See also MSR-VTT: A Large Video Description Dataset for Bridging Video and Language.

Video Objects: A Test Database for Video Object Recognition,
2006. Dataset, Objects.
HTML Version. 180 videos of 15 objects.

Animals with Attributes: A dataset for Attribute Based Classification,
2006. Dataset, Objects.
WWW Link. 30,000+ images, 40 animal classes.

Image Net, ImageNet Dataset,
2014.
WWW Link. Dataset, Objects. Large set of images (or sets of datasets) for recognition. Related to ImageNet Challanges for recognition. 14Million+ images. Links to Stanford
See also Stanford University, Computer Science Departent. and Princeton.
See also Princeton.

Washington Ground Truth Image Database,
CBIR dataset. Online2004
WWW Link. Dataset. Dataset, Retrieval. BibRef 0400

LHI Object Datasets,
Includes hand segmentations, and annotations. Online2004
HTML Version. Dataset. Dataset, Object Recognition. Transportation images, Animals, Aerial Images, Objects, Dataset also includes other data.
See also Lotus Hill Institute. BibRef 0400

NEC Animal Dataset,
Online2009
WWW Link. Dataset. Dataset, Object Recognition. It consists of about 5000 high quality images from 60 toy animals taken at different poses against a plain background. BibRef 0900

Xcavator.Net,
Online2007
WWW Link. Dataset, Object Recognition. Photo search for professional use. Searches stock databases, you then purchase the image for use. Part of CogniSign LLC. BibRef 0700

The ETH-80 Dataset,
2017 Dataset, Objects.
WWW Link. The ETH-80 dataset contains visual object images from 8 different categories including apples, cars, cows,cups, dogs, horses, pears and tomatoes.
See also Covariance descriptors on a Gaussian manifold and their application to image set classification.
See also Swiss Federal Institute of Technology in Zurich.

15 Scene Dataset,
Dataset, Objects.
HTML Version. The 15 scene categories are office, kitchen, living room, bedroom, store, industrial, tall building, inside cite, street, highway, coast, open country, mountain, forest, and suburb. Images in the dataset are about 250*300 resolution, with 210 to 410 images per class.

Video Dataset Overview,
2021
WWW Link. Dataset, Overview. A good collection of Video datasets for various uses, activity, instruction, sports, etc..

Multi-Weather 4Seasons Dataset,
2021 Dataset, Driving.
WWW Link.

Vasiljevic, I., Kolkin, N., Zhang, S., Luo, R., Wang, H.,
DIODE: A Dense Indoor and Outdoor Depth Dataset,
2019 Dataset, Object Extraction.
WWW Link. BibRef

Blanco, J.L.[Jose-Luis], Moreno, F.A.[Francisco-Angel], Gonzalez, J.[Javier],
A collection of outdoor robotic datasets with centimeter-accuracy ground truth,
AutRob(27), No. 4, 2009, pp. 327.
Springer DOI
WWW Link. Dataset, SLAM. Malaga Parking BibRef 0900

Geusebroek, J.M.[Jan-Mark], Burghouts, G.J.[Gertjan J.], Smeulders, A.W.M.[Arnold W.M.],
The Amsterdam Library of Object Images,
IJCV(61), No. 1, January 2005, pp. 103-112.
DOI Link 0410

WWW Link. Dataset, Objects. 1000 objects over 100 images per object. BibRef

Torralba, A.B.[Antonio B.], Fergus, R.[Rob], Freeman, W.T.[William T.],
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition,
PAMI(30), No. 11, November 2008, pp. 1958-1970.
IEEE DOI
WWW Link. 0809
BibRef
And: CSAIL-TR-2007-024, 2007. Dataset, Retrieval. Images from the WWW, associated with a noun. Large comprehensive dataset. Dataset with segmentations. BibRef

Gong, Y.C.[Yun-Chao], Pawlowski, M.[Marcin], Yang, F.[Fei], Brandy, L.[Louis], Boundev, L.[Lubomir], Fergus, R.[Rob],
Web scale photo hash clustering on a single machine,
CVPR15(19-27)
IEEE DOI 1510
BibRef

Russell, B.[Bryan], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.],
LableMe: The Open Annotation Tool,
Online2010.
WWW Link. 1108
Dataset, Retrieval. Code, Annotation. The site for the annotation tool, also the video version. BibRef

Zhou, B.[Bolei], Lapedriza, A.[Agata], Khosla, A.[Aditya], Oliva, A.[Aude], Torralba, A.B.[Antonio B.],
Places: A 10 Million Image Database for Scene Recognition,
PAMI(40), No. 6, June 2018, pp. 1452-1464.
IEEE DOI 1805
Dataset, Retrieval. Context, Databases, Image recognition, Semantics, Sun, Training, Visualization, Scene classification, deep feature, deep learning, visual recognition BibRef

Escalante, H.J.[Hugo Jair], Hernandez, C.A.[Carlos A.], Gonzalez, J.A.[Jesus A.], Lopez-Lopez, A., Montes-y-Gomez, M.[Manuel], Morales, E.F.[Eduardo F.], Sucar, L.E.[L. Enrique], Villasenor, L.[Luis], Grubinger, M.[Michael],
The segmented and annotated IAPR TC-12 benchmark,
CVIU(114), No. 4, April 2010, pp. 419-428.
Elsevier DOI 1003
Dataset, Retrieval. Data set creation; Ground truth collection; Evaluation metrics; Automatic image annotation; Image retrieval BibRef

Russakovsky, O.[Olga], Deng, J.[Jia], Su, H.[Hao], Krause, J.[Jonathan], Satheesh, S.[Sanjeev], Ma, S.[Sean], Huang, Z.H.[Zhi-Heng], Karpathy, A.[Andrej], Khosla, A.[Aditya], Bernstein, M.[Michael], Berg, A.C.[Alexander C.], Fei-Fei, L.[Li],
ImageNet Large Scale Visual Recognition Challenge,
IJCV(115), No. 3, December 2015, pp. 211-252.
Springer DOI 1512
Dataset, Object Category. Object category classification and detection on hundreds of object categories and millions of images. BibRef

Loh, Y.P.[Yuen Peng], Chan, C.S.[Chee Seng],
Getting to know low-light images with the Exclusively Dark dataset,
CVIU(178), 2019, pp. 30-42.
Elsevier DOI 1812
Dataset, Low Light. BibRef

Rosu, R.A.[Radu Alexandru], Quenzel, J.[Jan], Behnke, S.[Sven],
Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes,
IJCV(128), No. 5, May 2020, pp. 1220-1238.
Springer DOI 2005
BibRef

Aizawa, K., Fujimoto, A., Otsubo, A., Ogawa, T., Matsui, Y., Tsubota, K., Ikuta, H.,
Building a Manga Dataset 'Manga109' With Annotations for Multimedia Applications,
MultMedMag(27), No. 2, April 2020, pp. 8-18.
IEEE DOI 2006
Dataset, Manga. Machine learning, Visualization, Character recognition, Art, Machine learning algorithms, Task analysis BibRef

Kuznetsova, A.[Alina], Rom, H.[Hassan], Alldrin, N.[Neil], Uijlings, J.[Jasper], Krasin, I.[Ivan], Pont-Tuset, J.[Jordi], Kamali, S.[Shahab], Popov, S.[Stefan], Malloci, M.[Matteo], Kolesnikov, A.[Alexander], Duerig, T.[Tom], Ferrari, V.[Vittorio],
The Open Images Dataset V4,
IJCV(128), No. 7, July 2020, pp. 1956-1981.
Springer DOI 2007
Dataset, Object Detection. 9.2M images with unified annotations.
HTML Version. BibRef

Maugey, T., Toni, L.,
Large Database Compression Based on Perceived Information,
SPLetters(27), 2020, pp. 1735-1739.
IEEE DOI 2010
Covariance matrices, Compression algorithms, Databases, Measurement, Signal processing algorithms, Image coding, Entropy, sampling BibRef

He, Y.[Yue], Shen, Z.Y.[Zhe-Yan], Cui, P.[Peng],
Towards Non-I.I.D. image classification: A dataset and baselines,
PR(110), 2021, pp. 107383.
Elsevier DOI 2011
Non-I.I.D, Dataset, Context, Bias, ConvNet, Batch balancing BibRef

Pang, Y., Cao, J., Li, Y., Xie, J., Sun, H., Gong, J.,
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection,
IP(30), 2021, pp. 207-219.
IEEE DOI 2011
Object detection, Feature extraction, Image resolution, Face recognition, Proposals, Training, Face detection, Dataset, large scale BibRef

Xu, X.W.[Xiao-Wei], Zhang, X.Y.[Xin-Yi], Yu, B.[Bei], Hu, X.B.S.[Xiao-Bo Sharon], Rowen, C.[Christopher], Hu, J.T.[Jing-Tong], Shi, Y.Y.[Yi-Yu],
DAC-SDC Low Power Object Detection Challenge for UAV Applications,
PAMI(43), No. 2, February 2021, pp. 392-403.
IEEE DOI 2101
More for detection, but generally a dataset, evaluation paper. This paper presents in detail the dataset and evaluation procedure. It further discusses the methods developed by some of the entries as well as representative results. Object detection, Graphics processing units, Field programmable gate arrays, Task analysis, low power BibRef

Thakur, S.[Sanchari], Bruzzone, L.[Lorenzo],
An Approach to the Generation and Analysis of Databases of Simulated Radar Sounder Data for Performance Prediction and Target Interpretation,
GeoRS(59), No. 10, October 2021, pp. 8269-8287.
IEEE DOI 2109
Radar, Databases, Moon, Computational modeling, Solid modeling, Instruments, Clutter, Feature analysis, geoelectrical modeling, similarity measure BibRef

SynthCity: A Large-Scale Synthetic Point Cloud,
2019.
WWW Link. Dataset, Point Clouds. Synthetic point clouds and RGB data from a detailed city model.

WHU Datasets,
2020.
WWW Link. Dataset, Buildings. Several datasets.
See also Whuan University.

VisDrone Datasets,
2019.
WWW Link. Dataset, Drone Images. Several datasets related to annual challenges..

Song, D.[Dan], Nie, W.Z.[Wei-Zhi], Li, W.H.[Wen-Hui], Kankanhalli, M.[Mohan], Liu, A.A.[An-An],
Monocular Image-Based 3-D Model Retrieval: A Benchmark,
Cyber(53), To be published.
IEEE DOI Dataset, MI3DOR.
WWW Link. Dataset, 3D Objects. Monocular image based 3D object retrieval BibRef 0000

Tan, X.[Xin], Xu, K.[Ke], Cao, Y.[Ying], Zhang, Y.H.[Yi-Heng], Ma, L.Z.[Li-Zhuang], Lau, R.W.H.[Rynson W. H.],
Night-Time Scene Parsing With a Large Real Dataset,
IP(30), 2021, pp. 9085-9098.
IEEE DOI 2112
Dataset, NightCity. Streaming media, Urban areas, Image segmentation, Annotations, Semantics, Computer science, Automobiles, Autonomous driving, adverse conditions BibRef

Xie, Z.F.[Zhi-Feng], Wang, S.[Sen], Xu, K.[Ke], Zhang, Z.Z.[Zhi-Zhong], Tan, X.[Xin], Xie, Y.[Yuan], Ma, L.Z.[Li-Zhuang],
Boosting Night-Time Scene Parsing With Learnable Frequency,
IP(32), 2023, pp. 2386-2398.
IEEE DOI 2305
Time-frequency analysis, Frequency conversion, Image segmentation, Context modeling, Image coding, Transformers, frequency analysis BibRef

Deschaud, J.E.[Jean-Emmanuel], Duque, D.[David], Richa, J.P.[Jean Pierre], Velasco-Forero, S.[Santiago], Marcotegui, B.[Beatriz], Goulette, F.[François],
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
Dataset, Point Cloud. BibRef

Lopes, A.[Alexandre], Souza, R.[Roberto], Pedrini, H.[Helio],
A survey on RGB-D datasets,
CVIU(222), 2022, pp. 103489.
Elsevier DOI 2209
RGB-D data, Monocular depth estimation, Computer vision, Depth datasets BibRef

Liu, K.[Kang], Yang, J.[Jian], Li, S.Y.[Sheng-Yang],
Remote-Sensing Cross-Domain Scene Classification: A Dataset and Benchmark,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Liu, K., Wu, A., Wan, X., Li, S.Y.[Sheng-Yang],
MRSSC: A Benchmark Dataset for Multimodal Remote Sensing Scene Classification,
ISPRS21(B2-2021: 785-792).
DOI Link 2201
BibRef

Feng, R.T.[Rui-Tao], Li, X.H.[Xing-Hua], Bai, J.J.[Jian-Jun], Ye, Y.X.[Yuan-Xin],
MID: A Novel Mountainous Remote Sensing Imagery Registration Dataset Assessed by a Coarse-to-Fine Unsupervised Cascading Network,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zimmerer, D.[David], Full, P.M.[Peter M.], Isensee, F.[Fabian], Jäger, P.[Paul], Adler, T.[Tim], Petersen, J.[Jens], Köhler, G.[Gregor], Ross, T.[Tobias], Reinke, A.[Annika], Kascenas, A.[Antanas], Jensen, B.S.[Bjørn Sand], O'Neil, A.Q.[Alison Q.], Tan, J.[Jeremy], Hou, B.[Benjamin], Batten, J.[James], Qiu, H.Q.[Hua-Qi], Kainz, B.[Bernhard], Shvetsova, N.[Nina], Fedulova, I.[Irina], Dylov, D.V.[Dmitry V.], Yu, B.L.[Bao-Lun], Zhai, J.Y.[Jian-Yang], Hu, J.T.[Jing-Tao], Si, R.X.[Run-Xuan], Zhou, S.H.[Si-Hang], Wang, S.Q.[Si-Qi], Li, X.Y.[Xin-Yang], Chen, X.[Xuerun], Zhao, Y.[Yang], Marimont, S.N.[Sergio Naval], Tarroni, G.[Giacomo], Saase, V.[Victor], Maier-Hein, L.[Lena], Maier-Hein, K.[Klaus],
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images,
MedImg(41), No. 10, October 2022, pp. 2728-2738.
IEEE DOI 2210
Biomedical imaging, Training, Benchmark testing, Anomaly detection, Task analysis, Annotations, Prediction algorithms, out-of-distribution analysis BibRef

Ding, J.[Jian], Xue, N.[Nan], Xia, G.S.[Gui-Song], Bai, X.[Xiang], Yang, W.[Wen], Yang, M.Y.[Michael Ying], Belongie, S.[Serge], Luo, J.B.[Jie-Bo], Datcu, M.[Mihai], Pelillo, M.[Marcello], Zhang, L.P.[Liang-Pei],
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges,
PAMI(44), No. 11, November 2022, pp. 7778-7796.
IEEE DOI 2210
Object detection, Earth, Libraries, Codes, Task analysis, Software algorithms, Software, Object detection, remote sensing, benchmark dataset BibRef

Zachar, P.[Paulina], Ostrowski, W.[Wojciech], Platek-Zak, A.[Anna], Kurczynski, Z.[Zdzislaw],
The Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of Training Datasets for Object Detection in UAV Images,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liu, F.[Fan], Chen, D.[Delong], Du, X.Y.[Xiao-Yu], Gao, R.Z.[Rui-Zhuo], Xu, F.[Feng],
MEP-3M: A large-scale multi-modal E-commerce product dataset,
PR(140), 2023, pp. 109519.
Elsevier DOI 2305
Dataset, E-commerce product classification, Fine-grained learning, Hierarchical classification, Automatic Checkout BibRef

Feng, T.L.[Ting-Lei], Zhai, Y.J.[Ying-Jie], Yang, J.F.[Ju-Feng], Liang, J.[Jie], Fan, D.P.[Deng-Ping], Zhang, J.[Jing], Shao, L.[Ling], Tao, D.C.[Da-Cheng],
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment,
PAMI(45), No. 7, July 2023, pp. 8577-8593.
IEEE DOI 2306
Integrated circuits, Complexity theory, Feature extraction, Integrated circuit modeling, Task analysis, Entropy, Visualization, large-scale well-annotated dataset BibRef

Kawano, K.[Keisuke], Kutsuna, T.[Takuro], Tokuhisa, R.[Ryoko], Nakamura, A.[Akihiro], Esaki, Y.S.[Yasu-Shi],
StyleDiff: Attribute comparison between unlabeled datasets in latent disentangled space,
IVC(138), 2023, pp. 104808.
Elsevier DOI 2310
Helps developers understand the differences between the datasets with respect to such latent attribute distributions. Dataset comparing, StyleSpace, Optimal transport BibRef

Hu, F.[Fei], Ma, Y.[Yibo], Zhong, W.[Wei], Ye, L.[Long], Yang, X.[Xinyan], Fang, L.[Li], Zhang, Q.[Qin],
A Dataset and Benchmark for 3D Scene Plausibility Assessment,
MultMed(26), 2024, pp. 6529-6541.
IEEE DOI 2404
Image quality, Quality assessment, Task analysis, Neural networks, Solid modeling, Semantics, plausibility assessment BibRef

Wan, Z.J.[Zhi-Jing], Wang, Z.X.[Zhi-Xiang], Chung, C.[Cheukting], Wang, Z.[Zheng],
A Survey of Dataset Refinement for Problems in Computer Vision Datasets,
Surveys(56), No. 7, April 2024, pp. xx-yy.
DOI Link 2405
Dataset refinement, data sampling, subset selection, active learning BibRef


Schubert, M.[Marius], Riedlinger, T.[Tobias], Kahl, K.[Karsten], Kröll, D.[Daniel], Schoenen, S.[Sebastian], Šegvic, S.[Siniša], Rottmann, M.[Matthias],
Identifying Label Errors in Object Detection Datasets by Loss Inspection,
WACV24(4570-4579)
IEEE DOI 2404
Training, Reviews, Computational modeling, Object detection, Benchmark testing, Noise measurement, Object recognition, Image recognition and understanding BibRef

Glatt, O.[Ortal], Ater, Y.[Yotam], Kim, W.S.[Woo-Shik], Werman, S.[Shira], Berby, O.[Oded], Zini, Y.[Yael], Zelinger, S.[Shay], Lee, S.[Sangyoon], Choi, H.[Heejin], Soloveichik, E.[Evgeny],
Beyond RGB: A Real World Dataset for Multispectral Imaging in Mobile Devices,
WACV24(4332-4342)
IEEE DOI 2404
Photography, Performance evaluation, Pipelines, Benchmark testing, Sensor fusion, Cameras, Algorithms, Datasets and evaluations, image and video synthesis BibRef

An, G.Y.[Guo-Yuan], Kim, W.J.[Woo Jae], Yang, S.[Saelyne], Li, R.[Rong], Huo, Y.[Yuchi], Yoon, S.E.[Sung-Eui],
Towards Content-based Pixel Retrieval in Revisited Oxford and Paris,
ICCV23(20450-20461)
IEEE DOI 2401
BibRef

Hataya, R.[Ryuichiro], Bao, H.[Han], Arai, H.[Hiromi],
Will Large-scale Generative Models Corrupt Future Datasets?,
ICCV23(20498-20508)
IEEE DOI Code:
WWW Link. 2401
BibRef

Niemeijer, J.[Joshua], Mittal, S.[Sudhanshu], Brox, T.[Thomas],
Synthetic Dataset Acquisition for a Specific Target Domain,
BRAVO23(4057-4066)
IEEE DOI 2401
BibRef

Barkan, O.[Oren], Reiss, T.[Tal], Weill, J.[Jonathan], Katz, O.[Ori], Hirsch, R.[Roy], Malkiel, I.[Itzik], Koenigstein, N.[Noam],
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond,
ICCV23(19950-19961)
IEEE DOI 2401
BibRef

Wang, J.Q.[Jia-Qi], Zhang, P.[Pan], Chu, T.[Tao], Cao, Y.H.[Yu-Hang], Zhou, Y.J.[Yu-Jie], Wu, T.[Tong], Wang, B.[Bin], He, C.H.[Cong-Hui], Lin, D.[Dahua],
V3Det: Vast Vocabulary Visual Detection Dataset,
ICCV23(19787-19797)
IEEE DOI Code:
WWW Link. 2401
BibRef

Bastani, F.[Favyen], Wolters, P.[Piper], Gupta, R.[Ritwik], Ferdinando, J.[Joe], Kembhavi, A.[Aniruddha],
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding,
ICCV23(16726-16736)
IEEE DOI Code:
WWW Link. 2401
BibRef

Xu, J.[Jiacong], Zhang, Y.[Yi], Peng, J.W.[Jia-Wei], Ma, W.[Wufei], Jesslen, A.[Artur], Ji, P.L.[Peng-Liang], Hu, Q.X.[Qi-Xin], Zhang, J.H.[Jie-Hua], Liu, Q.H.[Qi-Hao], Wang, J.H.[Jia-Hao], Ji, W.[Wei], Wang, C.[Chen], Yuan, X.D.[Xiao-Ding], Kaushik, P.[Prakhar], Zhang, G.F.[Guo-Feng], Liu, J.[Jie], Xie, Y.S.[Yu-Shan], Cui, Y.W.[Ya-Wen], Yuille, A.[Alan], Kortylewski, A.[Adam],
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape,
ICCV23(9065-9075)
IEEE DOI 2401
BibRef

Lu, C.S.[Chong-Shan], Yin, F.[Fukun], Chen, X.[Xin], Liu, W.[Wen], Chen, T.[Tao], Yu, G.[Gang], Fan, J.Y.[Jia-Yuan],
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction,
ICCV23(7523-7533)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lin, H.Z.[Hao-Zhe], Chen, Z.[Zequn], Zhang, J.Z.[Jin-Zhi], Bai, B.[Bing], Wang, Y.[Yu], Huang, R.[Ruqi], Fang, L.[Lu],
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation,
ICCV23(3735-3745)
IEEE DOI Code:
WWW Link. 2401
BibRef

Ypsilantis, N.A.[Nikolaos-Antonios], Chen, K.[Kaifeng], Cao, B.[Bingyi], Lipovský, M.[Mário], Dogan-Schönberger, P.[Pelin], Makosa, G.[Grzegorz], Bluntschli, B.[Boris], Seyedhosseini, M.[Mojtaba], Chum, O.[Ondrej], Araujo, A.[André],
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations,
ICCV23(11256-11267)
IEEE DOI Code:
WWW Link. 2401
BibRef

Bafghi, R.A.[Reza Akbarian], Gurari, D.[Danna],
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories,
CVPR23(16261-16270)
IEEE DOI 2309
BibRef

Kulinski, S.[Sean], Waytowich, N.R.[Nicholas R.], Hare, J.Z.[James Z.], Inouye, D.I.[David I.],
StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments,
CVPR23(22004-22013)
IEEE DOI 2309
BibRef

Tejero, J.G.[Javier Gamazo], Zinkernagel, M.S.[Martin S.], Wolf, S.[Sebastian], Sznitman, R.[Raphael], Márquez-Neila, P.[Pablo],
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns,
CVPR23(11381-11391)
IEEE DOI 2309
Dataset annotations. BibRef

Meng, L.C.[Ling-Chen], Dai, X.Y.[Xi-Yang], Chen, Y.P.[Yin-Peng], Zhang, P.C.[Peng-Chuan], Chen, D.D.[Dong-Dong], Liu, M.C.[Meng-Chen], Wang, J.F.[Jian-Feng], Wu, Z.X.[Zu-Xuan], Yuan, L.[Lu], Jiang, Y.G.[Yu-Gang],
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding,
CVPR23(11402-11411)
IEEE DOI 2309
BibRef

Gao, R.[Ruohan], Dou, Y.M.[Yi-Ming], Li, H.[Hao], Agarwal, T.[Tanmay], Bohg, J.[Jeannette], Li, Y.Z.[Yun-Zhu], Fei-Fei, L.[Li], Wu, J.J.[Jia-Jun],
The Object Folder Benchmark: Multisensory Learning with Neural and Real Objects,
CVPR23(17276-17286)
IEEE DOI 2309
BibRef

Bravo, M.A.[María A.], Mittal, S.[Sudhanshu], Ging, S.[Simon], Brox, T.[Thomas],
Open-vocabulary Attribute Detection,
CVPR23(7041-7050)
IEEE DOI 2309
Task and benchmark. BibRef

Low, S.[Spencer], Nina, O.[Oliver], Sappa, A.D.[Angel D.], Blasch, E.[Erik], Inkawhich, N.[Nathan],
Multi-modal Aerial View Object Classification Challenge Results - PBVS 2023,
PBVS23(412-421)
IEEE DOI 2309
BibRef

Li, K.[Kejie], Bian, J.W.[Jia-Wang], Castle, R.[Robert], Torr, P.H.S.[Philip H.S.], Prisacariu, V.A.[Victor Adrian],
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices,
CVPR23(4892-4901)
IEEE DOI 2309
BibRef

Zhao, G.[Ganlong], Li, G.B.[Guan-Bin], Qin, Y.P.[Yi-Peng], Yu, Y.Z.[Yi-Zhou],
Improved Distribution Matching for Dataset Condensation,
CVPR23(7856-7865)
IEEE DOI 2309
BibRef

Xu, A.[Austin], Vasileva, M.I.[Mariya I.], Dave, A.[Achal], Seshadri, A.[Arjun],
HandsOff: Labeled Dataset Generation With No Additional Human Annotations,
CVPR23(7991-8000)
IEEE DOI 2309
BibRef

Liu, S.[Songhua], Ye, J.W.[Jing-Wen], Yu, R.[Runpeng], Wang, X.C.[Xin-Chao],
Slimmable Dataset Condensation,
CVPR23(3759-3768)
IEEE DOI 2309
BibRef

Sadasivan, V.S.[Vinu Sankar], Soltanolkotabi, M.[Mahdi], Feizi, S.[Soheil],
CUDA: Convolution-Based Unlearnable Datasets,
CVPR23(3862-3871)
IEEE DOI 2309
BibRef

Riz, L.[Luigi], Caraffa, A.[Andrea], Bortolon, M.[Matteo], Mekhalfi, M.L.[Mohamed Lamine], Boscaini, D.[Davide], Moura, A.[André], Antunes, J.[José], Dias, A.[André], Silva, H.[Hugo], Leonidou, A.[Andreas], Constantinides, C.[Christos], Keleshis, C.[Christos], Abate, D.[Dante], Poiesi, F.[Fabio],
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios,
MULA23(2546-2554)
IEEE DOI 2309
BibRef

Deitke, M.[Matt], Schwenk, D.[Dustin], Salvador, J.[Jordi], Weihs, L.[Luca], Michel, O.[Oscar], VanderBilt, E.[Eli], Schmidt, L.[Ludwig], Ehsanit, K.[Kiana], Kembhavi, A.[Aniruddha], Farhadi, A.[Ali],
Objaverse: A Universe of Annotated 3D Objects,
CVPR23(13142-13153)
IEEE DOI 2309
BibRef

Yu, X.G.[Xiang-Gang], Xu, M.[Mutian], Zhang, Y.[Yidan], Liu, H.L.[Hao-Lin], Ye, C.J.[Chong-Jie], Wu, Y.S.[Yu-Shuang], Yan, Z.Z.[Zi-Zheng], Zhu, C.M.[Chen-Ming], Xiong, Z.Y.[Zhang-Yang], Liang, T.Y.[Tian-You], Chen, G.Y.[Guan-Ying], Cui, S.G.[Shu-Guang], Han, X.G.[Xiao-Guang],
MVImgNet: A Large-scale Dataset of Multi-view Images,
CVPR23(9150-9161)
IEEE DOI 2309
BibRef

Gochoo, M.[Munkhjargal], Otgonbold, M.E.[Munkh-Erdene], Ganbold, E.[Erkhembayar], Hsieh, J.W.[Jun-Wei], Chang, M.C.[Ming-Ching], Chen, P.Y.[Ping-Yang], Dorj, B.[Byambaa], Jassmi, H.A.[Hamad Al], Batnasan, G.[Ganzorig], Alnajjar, F.[Fady], Abduljabbar, M.[Mohammed], Lin, F.P.[Fang-Pang],
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection,
AICity23(5305-5313)
IEEE DOI 2309
BibRef

Lamb, N.[Nikolas], Palmer, C.[Cameron], Molloy, B.[Benjamin], Banerjee, S.[Sean], Banerjee, N.K.[Natasha Kholgade],
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts,
CVPR23(4681-4691)
IEEE DOI 2309
BibRef

Jung, H.J.[Hyun-Jun], Ruhkamp, P.[Patrick], Zhai, G.Y.[Guang-Yao], Brasch, N.[Nikolas], Li, Y.T.[Yi-Tong], Verdie, Y.[Yannick], Song, J.[Jifei], Zhou, Y.[Yiren], Armagan, A.[Anil], Ilic, S.[Slobodan], Leonardis, A.[Ales], Navab, N.[Nassir], Busam, B.[Benjamin],
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks,
CVPR23(780-791)
IEEE DOI 2309
BibRef

Wu, T.[Tong], Zhang, J.R.[Jia-Rui], Fu, X.[Xiao], Wang, Y.X.[Yu-Xin], Ren, J.W.[Jia-Wei], Pan, L.[Liang], Wu, W.[Wayne], Yang, L.[Lei], Wang, J.Q.[Jia-Qi], Qian, C.[Chen], Lin, D.[Dahua], Liu, Z.W.[Zi-Wei],
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation,
CVPR23(803-814)
IEEE DOI 2309
BibRef

Mehl, L.[Lukas], Schmalfuss, J.[Jenny], Jahedi, A.[Azin], Nalivayko, Y.[Yaroslava], Bruhn, A.[Andrés],
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo,
CVPR23(4981-4991)
IEEE DOI 2309
BibRef

Bonfiglioli, L.[Luca], Toschi, M.[Marco], Silvestri, D.[Davide], Fioraio, N.[Nicola], de Gregorio, D.[Daniele],
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization,
ACCV22(V:459-475).
Springer DOI 2307
BibRef

Bailer, W.[Werner], Fassold, H.[Hannes],
People@Places and ToDY: Two Datasets for Scene Classification in Media Production and Archiving,
MMMod23(I: 489-501).
Springer DOI 2304
adds annotations to the Places365 dataset. BibRef

Truong, Q.T.[Quang-Trung], Vu, T.A.[Tuan-Anh], Ha, T.S.[Tan-Sang], Lokoc, J.[Jakub], Wong, Y.H.[Yue-Him], Joneja, A.[Ajay], Yeung, S.K.[Sai-Kit],
Marine Video Kit: A New Marine Video Dataset for Content-Based Analysis and Retrieval,
MMMod23(I: 539-550).
Springer DOI 2304
BibRef

Zhao, B.[Bo], Bilen, H.[Hakan],
Dataset Condensation with Distribution Matching,
WACV23(6503-6512)
IEEE DOI 2302
Training, Costs, Computational modeling, Computational efficiency, Task analysis, Algorithms: Machine learning architectures, and algorithms (including transfer) BibRef

Athar, A.[Ali], Luiten, J.[Jonathon], Voigtlaender, P.[Paul], Khurana, T.[Tarasha], Dave, A.[Achal], Leibe, B.[Bastian], Ramanan, D.[Deva],
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video,
WACV23(1674-1683)
IEEE DOI 2302
Measurement, Training, Vocabulary, Target tracking, Annotations, Taxonomy, Benchmark testing BibRef

Zhang, Y.H.[Yuan-Han], Yin, Z.F.[Zhen-Fei], Shao, J.[Jing], Liu, Z.W.[Zi-Wei],
Benchmarking Omni-Vision Representation Through the Lens of Visual Realms,
ECCV22(VII:594-611).
Springer DOI 2211

WWW Link. OmniBenchmark using 21 datasets. Open Set analysis. BibRef

Chun, S.[Sanghyuk], Kim, W.[Wonjae], Park, S.[Song], Chang, M.[Minsuk], Oh, S.J.[Seong Joon],
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO,
ECCV22(VIII:1-19).
Springer DOI 2211
BibRef

Cai, Z.A.[Zhong-Ang], Ren, D.[Daxuan], Zeng, A.[Ailing], Lin, Z.Y.[Zheng-Yu], Yu, T.[Tao], Wang, W.J.[Wen-Jia], Fan, X.Y.[Xiang-Yu], Gao, Y.[Yang], Yu, Y.F.[Yi-Fan], Pan, L.[Liang], Hong, F.Z.[Fang-Zhou], Zhang, M.Y.[Ming-Yuan], Loy, C.C.[Chen Change], Yang, L.[Lei], Liu, Z.W.[Zi-Wei],
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling,
ECCV22(VII:557-577).
Springer DOI 2211
BibRef

Shrestha, R.[Rakesh], Hu, S.Q.[Si-Qi], Gou, M.H.[Ming-Hao], Liu, Z.Y.[Zi-Yuan], Tan, P.[Ping],
A Real World Dataset for Multi-view 3D Reconstruction,
ECCV22(VIII:56-73).
Springer DOI 2211
BibRef

Lin, L.Q.[Li-Qiang], Liu, Y.[Yilin], Hu, Y.[Yue], Yan, X.G.[Xing-Guang], Xie, K.[Ke], Huang, H.[Hui],
Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset,
ECCV22(VIII:93-109).
Springer DOI 2211
BibRef

He, J.[Ju], Yang, S.[Shuo], Yang, S.K.[Shao-Kang], Kortylewski, A.[Adam], Yuan, X.D.[Xiao-Ding], Chen, J.N.[Jie-Neng], Liu, S.[Shuai], Yang, C.[Cheng], Yu, Q.H.[Qi-Hang], Yuille, A.L.[Alan L.],
PartImageNet: A Large, High-Quality Dataset of Parts,
ECCV22(VIII:128-145).
Springer DOI 2211
BibRef

Xu, H.[Hang], Zhao, Q.[Qiang], Ma, Y.[Yike], Li, X.D.[Xiao-Dong], Yuan, P.[Peng], Feng, B.[Bailan], Yan, C.G.[Cheng-Gang], Dai, F.[Feng],
PANDORA: A Panoramic Detection Dataset for Object with Orientation,
ECCV22(VIII:237-252).
Springer DOI 2211
BibRef

Xu, H.[Hang], Liu, X.Y.[Xin-Yuan], Zhao, Q.[Qiang], Ma, Y.[Yike], Yan, C.G.[Cheng-Gang], Dai, F.[Feng],
Gaussian Label Distribution Learning for Spherical Image Object Detection,
CVPR23(1033-1042)
IEEE DOI 2309
BibRef

Uijlings, J.[Jasper], Mensink, T.[Thomas], Ferrari, V.[Vittorio],
The Missing Link: Finding Label Relations Across Datasets,
ECCV22(VIII:540-556).
Springer DOI 2211
BibRef

Lin, X.T.[Xiao-Tian], Xu, L.[Leiyang], Wang, Q.[Qiang],
Automatic Dataset Generation for Specific Object Detection,
ICIP22(3076-3080)
IEEE DOI 2211
Image segmentation, Buildings, Morphology, Object detection, Visual systems, Approximation algorithms, Data models, Image processing BibRef

Beghdadi, A.[Ayman], Mallem, M.[Malik], Beji, L.[Lotfi],
Benchmarking Performance of Object Detection Under Image Distortions in an Uncontrolled Environment,
ICIP22(2071-2075)
IEEE DOI 2211
Training, Performance evaluation, Codes, Databases, Object detection, Benchmark testing, Deep learning, Object detection, Distortion, Benchmarking BibRef

Helm, D.[Daniel], Jogl, F.[Fabian], Kampel, M.[Martin],
Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation,
ICIP22(2087-2091)
IEEE DOI 2211
Annotations, Pipelines, Object detection, Benchmark testing, Cameras, Historical Film Dataset, Film Archives, Deep Learning, Cinematographic Data BibRef

Li, X.K.[Xin-Ke], Ding, H.H.[Heng-Hui], Tong, Z.K.[Ze-Kun], Wu, Y.W.[Yu-Wei], Chee, Y.M.[Yeow Meng],
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives,
CVPR22(15926-15936)
IEEE DOI 2210
Training, Solid modeling, Annotations, Computational modeling, Soft sensors, 3D from multi-view and sensors, Representation learning BibRef

Batalo, B.[Bojan], Souza, L.S.[Lincon S.], Gatto, B.B.[Bernardo B.], Sogi, N.[Naoya], Fukui, K.[Kazuhiro],
Analysis of Temporal Tensor Datasets on Product Grassmann Manifold,
VDU22(4868-4876)
IEEE DOI 2210
Manifolds, Measurement, Geometry, Tensors, Data visualization, Pattern recognition, Gyroscopes BibRef

Gao, R.[Ruohan], Si, Z.[Zilin], Chang, Y.Y.[Yen-Yu], Clarke, S.[Samuel], Bohg, J.[Jeannette], Fei-Fei, L.[Li], Yuan, W.Z.[Wen-Zhen], Wu, J.J.[Jia-Jun],
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer,
CVPR22(10588-10598)
IEEE DOI 2210
Location awareness, Visualization, Shape, Computational modeling, Estimation, Rendering (computer graphics), Vision + X, Vision + graphics BibRef

Wang, Y.[Ye], Mu, N.[Norman], Grandi, D.[Daniele], Savva, N.[Nicolas], Steinhardt, J.[Jacob],
A3D: Studying Pretrained Representations with Programmable Datasets,
VDU22(4877-4885)
IEEE DOI 2210
Image synthesis, Computational modeling, Pipelines, Transfer learning, Consumer products, Data visualization BibRef

Bennequin, E.[Etienne], Tami, M.[Myriam], Toubhans, A.[Antoine], Hudelot, C.[Céline],
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling,
VDU22(4766-4775)
IEEE DOI 2210
Fungi, Training, Limiting, Shape, Semantics, Benchmark testing, Pattern recognition BibRef

Jiang, H.[Han], Li, Z.[Zeqian], Whitehill, J.[Jacob],
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?,
VDU22(4759-4765)
IEEE DOI 2210
Training, Computational modeling, Semantics, Symbols, Object detection, Mathematical models BibRef

Ma, J.X.[Jia-Xin], Ushiku, Y.[Yoshitaka], Sagara, M.[Miori],
The Effect of Improving Annotation Quality on Object Detection Datasets: A Preliminary Study,
VDU22(4849-4858)
IEEE DOI 2210
Annotations, Object detection, Machine learning, Benchmark testing, Internet, Pattern recognition BibRef

Collins, J.[Jasmine], Goel, S.[Shubham], Deng, K.[Kenan], Luthra, A.[Achleshwar], Xu, L.[Leon], Gundogdu, E.[Erhan], Zhang, X.[Xi], Vicente, T.F.Y.[Tomas F. Yago], Dideriksen, T.[Thomas], Arora, H.[Himanshu], Guillaumin, M.[Matthieu], Malik, J.[Jitendra],
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding,
CVPR22(21094-21104)
IEEE DOI 2210
Training, Geometry, Solid modeling, Azimuth, Navigation, Estimation, Datasets and evaluation, 3D from single images BibRef

Wang, P.Y.[Peng-Yuan], Jung, H.J.[Hyun-Jun], Li, Y.T.[Yi-Tong], Shen, S.Y.[Si-Yuan], Srikanth, R.P.[Rahul Parthasarathy], Garattoni, L.[Lorenzo], Meier, S.[Sven], Navab, N.[Nassir], Busam, B.[Benjamin],
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects,
CVPR22(21190-21199)
IEEE DOI 2210
Solid modeling, Annotations, Shape, Pose estimation, Pipelines, Robot vision systems, Datasets and evaluation, Pose estimation and tracking BibRef

Kataoka, H.[Hirokatsu], Hayamizu, R.[Ryo], Yamada, R.[Ryosuke], Nakashima, K.[Kodai], Takashima, S.[Sora], Zhang, X.Y.[Xin-Yu], Martinez-Noriega, E.J.[Edgar Josafat], Inoue, N.[Nakamasa], Yokota, R.[Rio],
Replacing Labeled Real-image Datasets with Auto-generated Contours,
CVPR22(21200-21209)
IEEE DOI 2210
Costs, Shape, Supervised learning, Transformers, Fractals, Pattern recognition, Datasets and evaluation, Self- semi- meta- unsupervised learning BibRef

Li, D.[Daiqing], Ling, H.[Huan], Kim, S.W.[Seung Wook], Kreis, K.[Karsten], Fidler, S.[Sanja], Torralba, A.[Antonio],
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations,
CVPR22(21298-21308)
IEEE DOI 2210
Training, Image segmentation, Benchmark testing, Generative adversarial networks, Generators, Pattern recognition, Self- semi- meta- Transfer/low-shot/long-tail learning BibRef

Yu, H.[Haibao], Luo, Y.Z.[Yi-Zhen], Shu, M.[Mao], Huo, Y.[Yiyi], Yang, Z.[Zebang], Shi, Y.F.[Yi-Feng], Guo, Z.L.[Zheng-Long], Li, H.Y.[Han-Yu], Hu, X.[Xing], Yuan, J.[Jirui], Nie, Z.[Zaiqing],
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection,
CVPR22(21329-21338)
IEEE DOI 2210
Costs, Annotations, Object detection, Benchmark testing, Sensors, Datasets and evaluation, 3D from multi-view and sensors, Vision applications and systems BibRef

Greff, K.[Klaus], Belletti, F.[Francois], Beyer, L.[Lucas], Doersch, C.[Carl], Du, Y.L.[Yi-Lun], Duckworth, D.[Daniel], Fleet, D.J.[David J], Gnanapragasam, D.[Dan], Golemo, F.[Florian], Herrmann, C.[Charles], Kipf, T.[Thomas], Kundu, A.[Abhijit], Lagun, D.[Dmitry], Laradji, I.[Issam], Liu, H.T.[Hsueh-Ti], Meyer, H.[Henning], Miao, Y.[Yishu], Nowrouzezahrai, D.[Derek], Oztireli, C.[Cengiz], Pot, E.[Etienne], Radwan, N.[Noha], Rebain, D.[Daniel], Sabour, S.[Sara], Sajjadi, M.S.M.[Mehdi S. M.], Sela, M.[Matan], Sitzmann, V.[Vincent], Stone, A.[Austin], Sun, D.Q.[De-Qing], Vora, S.[Suhani], Wang, Z.Y.[Zi-Yu], Wu, T.H.[Tian-Hao], Yi, K.M.[Kwang Moo], Zhong, F.C.[Fang-Cheng], Tagliasacchi, A.[Andrea],
Kubric: A scalable dataset generator,
CVPR22(3739-3751)
IEEE DOI 2210
Training, Data privacy, Solid modeling, Annotations, Pipelines, Training data, Image and video synthesis and generation, Self- semi- meta- Video analysis and understanding BibRef

Rangnekar, A.[Aneesh], Mulhollan, Z.[Zachary], Vodacek, A.[Anthony], Hoffman, M.[Matthew], Sappa, A.[Angel], Blasch, E.[Erik], Yu, J.[Jun], Zhang, L.W.[Li-Wen], Du, S.S.[Shen-Shen], Chang, H.[Hao], Lu, K.[Keda], Zhang, Z.[Zhong], Gao, F.[Fang], Yu, Y.[Ye], Shuang, F.[Feng], Wang, L.[Lei], Ling, Q.[Qiang], Shyam, P.[Pranjay], Yoon, K.J.[Kuk-Jin], Kim, K.S.[Kyung-Soo],
Semi-Supervised Hyperspectral Object Detection Challenge Results: PBVS 2022,
PBVS22(389-397)
IEEE DOI 2210
Training, Training data, Object detection, Semisupervised learning, Transformers BibRef

Eulig, E.[Elias], Saranrittichai, P.[Piyapat], Mummadi, C.K.[Chaithanya Kumar], Rambach, K.[Kilian], Beluch, W.[William], Shi, X.[Xiahan], Fischer, V.[Volker],
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities,
ICCV21(10635-10644)
IEEE DOI 2203
Measurement, Deep learning, Visualization, Correlation, Shape, Image color analysis, Neural networks, Datasets and evaluation, Recognition and classification BibRef

Eftekhar, A.[Ainaz], Sax, A.[Alexander], Malik, J.[Jitendra], Zamir, A.[Amir],
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans,
ICCV21(10766-10776)
IEEE DOI 2203
Computational modeling, Pipelines, Estimation, Benchmark testing, Multitasking, Datasets and evaluation, Vision for robotics and autonomous vehicles BibRef

Peres, V.M.X.[Vitor Miguel Xavier], Musse, S.R.[Soraia Raupp],
Towards the Creation of Spontaneous Datasets Based on Youtube Reaction Videos,
ISVC21(II:203-215).
Springer DOI 2112
BibRef

Kriegler, A.[Andreas], Steininger, D.[Daniel], Wöber, W.[Wilfried],
Visual Semantic Context Encoding for Aerial Data Introspection and Domain Prediction,
IbPRIA22(433-446).
Springer DOI 2205
BibRef

Steininger, D.[Daniel], Widhalm, V.[Verena], Simon, J.[Julia], Kriegler, A.[Andreas], Sulzbacher, C.[Christoph],
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial Domains,
AOTW21(3816-3825)
IEEE DOI 2112
Training, Annotations, Atmospheric modeling, Semantics, Pose estimation, Focusing, Data models BibRef

LeBauer, D.[David], Burnette, M.[Max], Fahlgren, N.[Noah], Kooper, R.[Rob], McHenry, K.[Kenton], Stylianou, A.[Abby],
What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?,
CVPPA21(1409-1415)
IEEE DOI 2112
Wavelength measurement, Measurement by laser beam, Cameras BibRef

Pham, K.[Khoi], Kafle, K.[Kushal], Lin, Z.[Zhe], Ding, Z.H.[Zhi-Hong], Cohen, S.[Scott], Tran, Q.[Quan], Shrivastava, A.[Abhinav],
Learning to Predict Visual Attributes in the Wild,
CVPR21(13013-13023)
IEEE DOI 2111

WWW Link. Dataset, VAW. Geometry, Visualization, Shape, Image color analysis, Annotations, Prediction algorithms BibRef

Zhou, Q.[Qiang], Wang, S.Y.[Shi-Yin], Wang, Y.T.[Yi-Tong], Huang, Z.L.[Zi-Long], Wang, X.G.[Xing-Gang],
Human De-occlusion: Invisible Perception and Recovery for Humans,
CVPR21(3690-3700)
IEEE DOI 2111

WWW Link. Dataset, Human Occlusion. Annotations, Aggregates, Refining, Predictive models, Pattern recognition, Task analysis BibRef

Changpinyo, S.[Soravit], Sharma, P.[Piyush], Ding, N.[Nan], Soricut, R.[Radu],
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts,
CVPR21(3557-3567)
IEEE DOI 2111
Dataset, Image Captioning. Conceptual 12M (CC12M), a dataset with 12 million image-text pairs. Visualization, Image recognition, Pipelines, Benchmark testing, Data collection, Knowledge discovery BibRef

Miao, J.[Jiaxu], Wei, Y.C.[Yun-Chao], Wu, Y.[Yu], Liang, C.[Chen], Li, G.R.[Guang-Rui], Yang, Y.[Yi],
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild,
CVPR21(4131-4141)
IEEE DOI 2111
Image segmentation, Annotations, Pattern recognition, Task analysis, Spatial resolution, Videos BibRef

Ahmadyan, A.[Adel], Zhang, L.[Liangkai], Ablavatski, A.[Artsiom], Wei, J.N.[Jia-Ning], Grundmann, M.[Matthias],
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations,
CVPR21(7818-7827)
IEEE DOI 2111
Measurement, Solid modeling, Annotations, Shape, Object detection, Pattern recognition BibRef

van Horn, G.[Grant], Cole, E.[Elijah], Beery, S.[Sara], Wilber, K.[Kimberly], Belongie, S.[Serge], MacAodha, O.[Oisin],
Benchmarking Representation Learning for Natural World Image Collections,
CVPR21(12879-12888)
IEEE DOI 2111
Training, Learning systems, Visualization, Wildlife, Transfer learning, Benchmark testing, Feature extraction BibRef

Wenzel, P.[Patrick], Wang, R.[Rui], Yang, N.[Nan], Cheng, Q.[Qing], Khan, Q.[Qadeer], von Stumberg, L.[Lukas], Zeller, N.[Niclas], Cremers, D.[Daniel],
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving,
GCPR20(404-417).
Springer DOI 2110
BibRef

Pan, Y.C.[Yan-Cheng], Gao, B.[Biao], Mei, J.L.[Ji-Lin], Geng, S.[Sibo], Li, C.K.[Cheng-Kun], Zhao, H.J.[Hui-Jing],
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances,
ConferenceIntelligent Vehicles, 2020.
WWW Link.
HTML Version. BibRef 2000

Dung, H.A.[Hoang Anh], Chen, B.[Bo], Chin, T.J.[Tat-Jun],
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition,
AI4Space21(2012-2019)
IEEE DOI 2109
Space vehicles, Deep learning, Image segmentation, Satellites, Service robots, Object detection BibRef

Anderson, C.[Connor], Teuscher, A.[Adam], Anderson, E.[Elizabeth], Larsen, A.[Alysia], Shirley, J.[Josh], Farrell, R.[Ryan],
Have Fun Storming the Castle(s)!,
WACV21(3702-3711)
IEEE DOI
WWW Link. 2106
Dataset, Castles. 2400 individual castles, palaces and fortresses from more than 90 countries, contains more than 770K images. Visualization, Image recognition, Geology, Computational modeling, Image retrieval BibRef

Birhane, A.[Abeba], Prabhu, V.U.[Vinay Uday],
Large image datasets: A pyrrhic win for computer vision?,
WACV21(1536-1546)
IEEE DOI 2106
Faces BibRef

Figueiredo, A.[Augusto], Brayan, J.[Johnata], Reis, R.O.[Renan Oliveira], Prates, R.[Raphael], Schwartz, W.R.[William Robson],
MoRe: A Large-Scale Motorcycle Re-Identification Dataset,
WACV21(4033-4042)
IEEE DOI
WWW Link. 2106
Dataset, Vehicles. Training, Deep learning, Computational modeling, Surveillance, Motorcycles, Traffic control BibRef

Le, H.A.[Hoang-An], Mensink, T.[Thomas], Das, P.[Partha], Karaoglu, S.[Sezer], Gevers, T.[Theo],
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes,
WACV21(1578-1588)
IEEE DOI
WWW Link. 2106
Dataset, Outdoor Scenes. Deep learning, Image segmentation, Image color analysis, Computational modeling, Semantics BibRef

Kim, S.P.[Sang-Pil], Chi, H.G.[Hyung-Gun], Hu, X.[Xiao], Huang, Q.X.[Qi-Xing], Ramani, K.[Karthik],
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks,
ECCV20(XVIII:175-191).
Springer DOI 2012
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Duan, J., Yu, S., Tan, H.L., Tan, C.,
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment,
ICIP20(1566-1570)
IEEE DOI 2011
Collecting the data. Task analysis, Videos, Graphical user interfaces, Planning, Data collection, Robots, 3D environment BibRef

Zhang, Y., Zhang, L., Hamidouche, W., Deforges, O.,
A Fixation-Based 360° Benchmark Dataset For Salient Object Detection,
ICIP20(3458-3462)
IEEE DOI 2011
Benchmark testing, Visualization, Object detection, Head, Measurement, Training, VR, benchmark BibRef

Hsu, T.M.H.[Tzu-Ming Harry], Qi, H.[Hang], Brown, M.[Matthew],
Federated Visual Classification with Real-World Data Distribution,
ECCV20(X:76-92).
Springer DOI 2011
Species and landmark classification. BibRef

Zheng, J.[Jia], Zhang, J.F.[Jun-Fei], Li, J.[Jing], Tang, R.[Rui], Gao, S.H.[Sheng-Hua], Zhou, Z.H.[Zi-Han],
Structured3D: A Large Photo-realistic Dataset for Structured 3d Modeling,
ECCV20(IX:519-535).
Springer DOI 2011
BibRef

Song, J.M.[Jia-Ming], Dauphin, Y.[Yann], Auli, M.[Michael], Ma, T.Y.[Teng-Yu],
Robust and On-the-Fly Dataset Denoising for Image Classification,
ECCV20(XXIX: 556-572).
Springer DOI 2010
BibRef

Wang, X., Zhang, X., Zhu, Y., Guo, Y., Yuan, X., Xiang, L., Wang, Z., Ding, G., Brady, D., Dai, Q., Fang, L.,
PANDA: A Gigapixel-Level Human-Centric Video Dataset,
CVPR20(3265-3275)
IEEE DOI 2008
Task analysis, Spatial resolution, Trajectory, Cameras, Benchmark testing, Visualization, Head BibRef

Warburg, F.[Frederik], Hauberg, S.[Søren], López-Antequera, M.[Manuel], Gargallo, P.[Pau], Kuang, Y.[Yubin], Civera, J.[Javier],
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition,
CVPR20(2623-2632)
IEEE DOI 2008
Dataset, Mapillary mapping platform. Urban areas, Cameras, Image recognition, Meteorology, Task analysis, Image sequences, Benchmark testing BibRef

Li, X., Wei, T., Chen, Y.P., Tai, Y., Tang, C.,
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation,
CVPR20(2866-2875)
IEEE DOI 2008
Image segmentation, Training, Animals, Task analysis, Semantics, Tools BibRef

Scheck, T.[Tobias], Seidel, R.[Roman], Hirtz, G.[Gangolf],
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning,
WACV20(932-941)
IEEE DOI 2006
Dataset, Fisheye Images. Cameras, Image segmentation, Object detection, Semantics, Solid modeling, Rendering (computer graphics) BibRef

Chou, S.H.[Shih-Han], Sun, C.[Cheng], Chang, W.Y.[Wen-Yen], Hsu, W.T.[Wan-Ting], Sun, M.[Min], Fu, J.L.[Jian-Long],
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images,
WACV20(834-842)
IEEE DOI 2006
Object detection, Videos, Distortion, Automobiles, Task analysis BibRef

Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., Gall, J.,
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,
ICCV19(9296-9306)
IEEE DOI 2004
Dataset, LiDAR. distance measurement, image segmentation, optical radar, stereo image processing, LiDAR sequences, Lasers BibRef

Wang, X., Wu, J., Chen, J., Li, L., Wang, Y., Wang, W.Y.,
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research,
ICCV19(4580-4590)
IEEE DOI
WWW Link. 2004
Dataset, . language translation, linguistics, natural language processing, video signal processing, unified multilingual model, Social network services BibRef

Gu, S., Lugmayr, A., Danelljan, M., Fritsche, M., Lamour, J., Timofte, R.,
DIV8K: DIVerse 8K Resolution Image Dataset,
AIM19(3512-3516)
IEEE DOI 2004
Dataset, High Resolution. convolutional neural nets, image resolution, learning (artificial intelligence), CNN, image processing BibRef

Mauceri, C.[Cecilia], Palmer, M.[Martha], Heckman, C.[Christoffer],
SUN-Spot: An RGB-D Dataset With Spatial Referring Expressions,
CLVL19(1883-1886)
IEEE DOI 2004
Dataset, Recognition. image colour analysis, object detection, SLAM (robots), spatial referring expressions, SUN-Spot, objects localization, multimodal BibRef

Sølund, T.[Thomas], Buch, A.G.[Anders Glent], Krüger, N.[Norbert], Aanæs, H.[Henrik],
A Large-Scale 3D Object Recognition Dataset,
3DV16(73-82)
IEEE DOI 1701
Dataset, Object Recognition.
WWW Link. object recognition BibRef

Hua, B.S.[Binh-Son], Pham, Q.H.[Quang-Hieu], Nguyen, D.T.[Duc Thanh], Tran, M.K.[Minh-Khoi], Yu, L.F.[Lap-Fai], Yeung, S.K.[Sai-Kit],
SceneNN: A Scene Meshes Dataset with aNNotations,
3DV16(92-101)
IEEE DOI 1701
Dataset, RGB-D.
WWW Link. Cameras BibRef

Rotman, D.[Daniel], Gilboa, G.[Guy],
A Depth Restoration Occlusionless Temporal Dataset,
3DV16(176-184)
IEEE DOI 1701
Dataset, RGB-D. BibRef

Zhang, J.J.[Jun-Jie], Zhang, J.[Jian], Lu, J.F.[Jian-Feng], Shen, C.H.[Chun-Hua], Curr, K.[Kate], Phua, R.[Robin], Neville, R.[Richard], Edmonds, E.[Elise],
SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval,
DICTA16(1-6)
IEEE DOI 1701
Dataset, Object Recognition. 29713 images, 119 labels. BibRef

Xiang, Y.[Yu], Kim, W.[Wonhui], Chen, W.[Wei], Ji, J.W.[Jing-Wei], Choy, C.[Christopher], Su, H.[Hao], Mottaghi, R.[Roozbeh], Guibas, L.J.[Leonidas J.], Savarese, S.[Silvio],
ObjectNet3D: A Large Scale Database for 3D Object Recognition,
ECCV16(VIII: 160-176).
Springer DOI 1611
Dataset, Object Recognition.
WWW Link. BibRef

Lin, T.Y.[Tsung-Yi], Maire, M.[Michael], Belongie, S.J.[Serge J.], Hays, J.[James], Perona, P.[Pietro], Ramanan, D.[Deva], Dollár, P.[Piotr], Zitnick, C.L.[C. Lawrence],
Microsoft COCO: Common Objects in Context,
ECCV14(V: 740-755).
Springer DOI 1408
Dataset, Objects.
WWW Link. BibRef

Flickr30k Dataset,
From image descriptions to visual denotations. WWW Link.
Dataset, Visual Question Answering. Extension of Flickr 8k dataset.

Plummer, B.A.[Bryan A.], Wang, L.W.[Li-Wei], Cervantes, C.M.[Chris M.], Caicedo, J.C.[Juan C.], Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models,
IJCV(123), No. 1, May 2017, pp. 74-93.
Springer DOI 1705
BibRef
Earlier: ICCV15(2641-2649)
IEEE DOI 1602
Dataset, Object Recognition. Benchmark testing BibRef

Fanello, S.R.[Sean Ryan], Ciliberto, C.[Carlo], Santoro, M.[Matteo], Natale, L.[Lorenzo], Metta, G.[Giorgio], Rosasco, L.[Lorenzo], Odone, F.[Francesca],
iCub World: Friendly Robots Help Building Good Vision Data-Sets,
GT13(700-705)
IEEE DOI 1309
Dataset, Object Recognition. Human Robot Interaction; Object Categorization Dataset; iCub BibRef

Ponomarenko, N.[Nikolay], Ieremeiev, O.[Oleg], Lukin, V.[Vladimir], Jin, L.[Lina], Egiazarian, K.O.[Karen O.],
A New Color Image Database TID2013: Innovations and Results,
ACIVS13(402-413).
Springer DOI 1311
Dataset, Color Images. BibRef

Ponce, J., Berg, T.L., Everingham, M.R., Forsyth, D.A., Hebert, M., Lazebnik, S.[Svetlana], Marszalek, M., Schmid, C., Russell, B.C., Torralba, A., Williams, C.K.I., Zhang, J., Zisserman, A.,
Dataset Issues in Object Recognition,
CLOR06(29-48).
Springer DOI 0711
Dataset, Discussion. BibRef

Campbell, R., and Flynn, P.J.,
A WWW-Accessible 3D Image and Model Database for Computer Vision Research,
EEMCV98(148-154). BibRef 9800
And: EEMTV98(xx) Dataset, 3-D Data.
HTML Version. BibRef

Nene, S.A., Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
Columbia Object Image Library (COIL-100),
ColumbiaTechnical Report CUCS-006-96, February 1996.
PS File. Also:
WWW Link. Also the COIL-20 database.
WWW Link. Dataset, Objects. BibRef 9602

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
General Spatial Reasoning and Geometric Reasoning Issues, Visual Relations .


Last update:Jul 13, 2024 at 15:27:21