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SotA/Computer Vision/Crowds/ShanghaiTech A

Crowds on ShanghaiTech A

Metric: MSE (lower is better)

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#Model↕MSE▲Extra DataPaperDate↕Code
1APGCC76.7NoImproving Point-based Crowd Counting and Localiz...2024-05-17Code
2VMambaCC81.3NoVMambaCC: A Visual State Space Model for Crowd C...2024-05-07-
3FGENet85NoFGENet: Fine-Grained Extraction Network for Cong...2024-01-02-
4P2PNet85.06NoRethinking Counting and Localization in Crowds:A...2021-07-27Code
5GauNet (ResNet-50)89.1NoRethinking Spatial Invariance of Convolutional N...2022-06-10Code
6SPANet92.5NoLearning Spatial Awareness to Improve Crowd Coun...2019-09-16-
7M-SFANet+M-SegNet94.48NoEncoder-Decoder Based Convolutional Neural Netwo...2020-03-12Code
8FusionCount101.2NoFusionCount: Efficient Crowd Counting via Multis...2022-02-28Code
9OrdinalEntropy105NoImproving Deep Regression with Ordinal Entropy2023-01-21Code
10Cascaded-MTL152.4NoCNN-based Cascaded Multi-task Learning of High-l...2017-07-30Code