PASCAL VOC

data category: Object detection and segmentation benchmarks · 0 papers in the last 7 days

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Images labelled with object boxes or pixel masks, including driving scenes.

Names searched for: PASCAL VOC, VOC2007, VOC2012, VOC 2007, VOC 2012

Key findings#

From Nov 2023 to Oct 2026, 229 archived papers mentioned PASCAL VOC in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2024 (13).
PASCAL VOC was mentioned in 3 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #106 of the 255 datasets mentioned.
By journal category: AI (3).
Most of them appeared in International Journal of Computer Vision (1), Information Processing & Management (1) and Pattern Recognition (1).
From 2017 to 2026 (so far), PASCAL VOC was mentioned in 310 papers in the tracked journals, most of them in AI (307), operations research (2) and economics (1).
66 of them were published in 2025, against 9 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (19), University of Chinese Academy of Sciences (18) and Harbin Institute of Technology (11).
The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (71), International Journal of Computer Vision (38) and Pattern Recognition (28).
The most-cited of them is “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017), with 22,385 citations.
Papers use PASCAL VOC most often with MS COCO (174), ImageNet (158) and CIFAR-10 / CIFAR-100 (59); it has 36 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	106	72	51	229

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	9	11	9	5	12	15	32	105	63	46
Operations Research	0	0	0	0	0	0	0	0	2	0
Economics	0	0	0	0	0	0	0	0	1	0
All categories	9	11	9	5	12	15	32	105	66	46

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	IEEE Transactions on Pattern Analysis and Machine Intelligence	71
2	International Journal of Computer Vision	38
3	Pattern Recognition	28
4	IEEE Transactions on Neural Networks and Learning Systems	22
5	Artificial Intelligence Review	15
6	Neural Computing and Applications	14
7	Neural Networks	11
8	Machine Learning	10
9	Knowledge-Based Systems	10
10	Expert Systems with Applications	6

Institutions with the most papers, since 2023
#	Institution	Papers
1	Chinese Academy of Sciences	19
2	University of Chinese Academy of Sciences	18
3	Harbin Institute of Technology	11
4	Nanyang Technological University	11
5	Tencent (China)	9
6	Shanghai Jiao Tong University	8
7	Sun Yat-sen University	8
8	Beihang University	7
9	Hong Kong University of Science and Technology	7
10	Institute of Automation	7

Countries with the most papers, since 2023
#	Country	Papers
1	China	149
2	United States	36
3	United Kingdom	29
4	Hong Kong	27
5	Australia	25
6	Singapore	15
7	Germany	12
8	South Korea	10
9	United Arab Emirates	8
10	India	8

Keywords with the most papers, since 2023
#	Keyword	Papers
1	object detection	44
2	semantic segmentation	26
3	image classification	25
4	weakly supervised semantic segmentation	16
5	pseudo-labeling	15
6	vision transformer	15
7	knowledge distillation	14
8	Pascal VOC 2012	12
9	vision-language models	12
10	CLIP	11

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	22,385	195.9	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	IEEE Transactions on Pattern Analysis and Machine Intelligence	2017-04-27	Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al.
2	1,187	37.8	A review of convolutional neural networks in computer vision	Artificial Intelligence Review	2024-03-23	Xia Zhao, Limin Wang, Yufei Zhang et al.
3	998	30.9	Vision-Language Models for Vision Tasks: A Survey	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-02-26	Jingyi Zhang, Jiaxing Huang, Sheng Jin et al.
4	579	20.3	A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-06-17	Jie Gui, Tuo Chen, Jing Zhang et al.
5	512	19.4	A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-08-21	Hongrong Cheng, Miao Zhang, Qinfeng Shi

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use PASCAL VOC most often with MS COCO (174), ImageNet (158) and CIFAR-10 / CIFAR-100 (59); it has 36 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use PASCAL VOC together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
MS COCO	Dataset	174	27.4
ImageNet	Dataset	158	9.3
CIFAR-10 / CIFAR-100	Dataset	59	6.0
Cityscapes	Dataset	54	25.1
ADE20K	Dataset	36	34.9
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)	Dataset	29	17.7
Caltech-101 / 256	Dataset	28	26.4
MNIST / Fashion-MNIST	Dataset	23	3.0
KITTI	Dataset	20	6.8
Domain adaptation benchmarks (Office-31, Office-Home, VisDA…	Dataset	15	13.6
SVHN	Dataset	13	9.0
YouTube / TikTok	Dataset	13	1.1

Papers mentioning PASCAL VOC in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-17	CorrCLIPv2: Harnessing Unlabeled Images for Open-Vocabulary Semantic Segmentation	International Journal of Computer Vision	D H Zhang, Fagui Liu, Quan Tang et al.	South China University of Technology; Peng Cheng Laboratory
2026-10-15	Frequency–spatial dual-domain imperceptible watermarking for robust image datasets copyright protection	Information Processing & Management	Xiaojie Du, Yedi Chen, Kai Ma et al.	Guizhou Normal University
2026-10-12	P2L-CA: An effective parameter tuning framework for rehearsal-free Multi-Label Class-Incremental Learning	Pattern Recognition	Songlin Dong, Jiangyang Li, Chenhao Ding et al.	Shenzhen University of Advanced Technology; Xi'an Jiaotong University

Cite this page

Scholar4AI. (2026). PASCAL VOC. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/pascal-voc

@misc{scholar4ai-datasets-pascal-voc,
  author = {{Scholar4AI}},
  title = {PASCAL VOC},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/pascal-voc}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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