Crowds on UCF CC 50

Metric: MAE (lower is better)

LeaderboardDataset

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Results

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#	Model↕	MAE▲	Extra Data	Paper	Date↕	Code
1	APGCC	154.8	No	Improving Point-based Crowd Counting and Localiz...	2024-05-17	Code
2	M-SFANet	162.33	No	Encoder-Decoder Based Convolutional Neural Netwo...	2020-03-12	Code
3	GauNet (ResNet-50)	186.3	No	Rethinking Spatial Invariance of Convolutional N...	2022-06-10	Code
4	DM-Count	211	No	Distribution Matching for Crowd Counting	2020-09-28	Code
5	CAN	212.2	No	Context-Aware Crowd Counting	2018-11-26	Code
6	SGANet + CL	221.9	No	Crowd Counting via Segmentation Guided Attention...	2019-11-18	Code
7	SGANet	224.6	No	Crowd Counting via Segmentation Guided Attention...	2019-11-18	Code
8	LSC-CNN	225.6	No	Locate, Size and Count: Accurately Resolving Peo...	2019-06-18	Code
9	SPANet	232.6	No	Learning Spatial Awareness to Improve Crowd Coun...	2019-09-16	-
10	SANet	258.4	No	-	-	Code
11	ic-CNN	260.9	No	Iterative Crowd Counting	2018-07-26	-
12	CSRNet	266.1	No	CSRNet: Dilated Convolutional Neural Networks fo...	2018-02-27	Code
13	D-ConvNet	288.4	No	-	-	Code
14	ACSCP	291	No	-	-	Code
15	IG-CNN	291.4	No	Divide and Grow: Capturing Huge Diversity in Cro...	2018-07-26	-
16	CP-CNN	295.8	No	Generating High-Quality Crowd Density Maps using...	2017-08-02	-
17	Switch-CNN	318.1	No	Switching Convolutional Neural Network for Crowd...	2017-08-01	Code
18	Cascaded-MTL	322.8	No	CNN-based Cascaded Multi-task Learning of High-l...	2017-07-30	Code
19	Liu et al.	337.6	No	Leveraging Unlabeled Data for Crowd Counting by ...	2018-03-08	Code
20	MCNN	377.6	No	-	-	Code
21	Idrees et al.	419.5	No	-	-	-
22	Zhang et al.	467	No	-	-	-

#1APGCCSOTA
154.8
MAE· 2024-05-17
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance Code
#2M-SFANetSOTA
162.33
MAE· 2020-03-12
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting Code
#3GauNet (ResNet-50)
186.3
MAE· 2022-06-10
Rethinking Spatial Invariance of Convolutional Networks for Object Counting Code
#4DM-Count
211
MAE· 2020-09-28
Distribution Matching for Crowd Counting Code
#5CANSOTA
212.2
MAE· 2018-11-26
Context-Aware Crowd Counting Code
#6SGANet + CL
221.9
MAE· 2019-11-18
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss Code
#7SGANet
224.6
MAE· 2019-11-18
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss Code
#8LSC-CNN
225.6
MAE· 2019-06-18
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection Code
#9SPANet
232.6
MAE· 2019-09-16
Learning Spatial Awareness to Improve Crowd Counting
#10SANet
258.4
MAE
No paperCode
#11ic-CNNSOTA
260.9
MAE· 2018-07-26
Iterative Crowd Counting
#12CSRNetSOTA
266.1
MAE· 2018-02-27
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Code
#13D-ConvNet
288.4
MAE
No paperCode
#14ACSCP
291
MAE
No paperCode
#15IG-CNN
291.4
MAE· 2018-07-26
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
#16CP-CNNSOTA
295.8
MAE· 2017-08-02
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
#17Switch-CNNSOTA
318.1
MAE· 2017-08-01
Switching Convolutional Neural Network for Crowd Counting Code
#18Cascaded-MTLSOTA
322.8
MAE· 2017-07-30
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting Code
#19Liu et al.
337.6
MAE· 2018-03-08
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank Code
#20MCNN
377.6
MAE
No paperCode
#21Idrees et al.
419.5
MAE
No paper
#22Zhang et al.
467
MAE
No paper