SemAug-CounTR

Reported on 4 benchmarks across 1 task · 1 paper

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

Computer Vision4 results

Object CountingonFSC147
MAE(test)· uses extra data· 2023-10-26
11.32
best: 5.74 (CountGD)
Semantic Generative Augmentations for Few-Shot Counting arXiv:2311.16122
Object CountingonFSC147
MAE(val)· uses extra data· 2023-10-26
12.31
best: 7.1 (CountGD)
Semantic Generative Augmentations for Few-Shot Counting arXiv:2311.16122
Object CountingonFSC147
RMSE(test)· uses extra data· 2023-10-26
77.5
best: 24.09 (CountGD)
Semantic Generative Augmentations for Few-Shot Counting arXiv:2311.16122
Object CountingonFSC147
RMSE(val)· uses extra data· 2023-10-26
41.65
best: 26.08 (CountGD)
Semantic Generative Augmentations for Few-Shot Counting arXiv:2311.16122