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SOTA
人群计数
Crowd Counting On Worldexpo10
Crowd Counting On Worldexpo10
评估指标
Average MAE
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Average MAE
Paper Title
Repository
Zhang et al.
12.9
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks
-
MCNN
11.6
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
-
IG-CNN
11.3
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
-
ic-CNN
10.3
Iterative Crowd Counting
-
Switch-CNN
9.4
Switching Convolutional Neural Network for Crowd Counting
DecideNet
9.23
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
D-ConvNet
9.1
Crowd Counting With Deep Negative Correlation Learning
-
CP-CNN
8.9
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
-
CSRNet
8.6
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
SANet
8.2
Scale Aggregation Network for Accurate and Efficient Crowd Counting
-
SPANet
7.7
Learning Spatial Awareness to Improve Crowd Counting
-
ACSCP
7.5
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
-
CAN
7.4
Context-Aware Crowd Counting
M-SFANet
7.32
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
ECAN
7.2
Context-Aware Crowd Counting
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