FGENet

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

CrowdsonShanghaiTech A
MAE· 2024-01-02
51.66
best: 47.81 (EBC-ZIP-B)
SOTA
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting arXiv:2401.01208
CrowdsonShanghaiTech A
MSE· 2024-01-02
85
best: 76.7 (APGCC)
SOTA
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting arXiv:2401.01208