M-SFANet

Reported on 3 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 Vision3 results

CrowdsonUCF-QNRF
MAE· 2020-03-12
85.6
best: 69.46 (EBC-ZIP-B)
SOTA
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting arXiv:2003.05586
CrowdsonUCF CC 50
MAE· 2020-03-12
162.33
best: 154.8 (APGCC)
SOTA
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting arXiv:2003.05586
CrowdsonWorldExpo’10
Average MAE· 2020-03-12
7.32
best: 7.2 (ECAN)
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting arXiv:2003.05586