Cross Domain Few Shot Object Detection On Neu

mAP

Results

Performance results of various models on this benchmark

		Paper Title
Detic-FT	16.8	Detecting Twenty-thousand Classes using Image-level Supervision
ViTDeT-FT	15.8	Exploring Plain Vision Transformer Backbones for Object Detection
CD-ViTO	12.8	Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
DE-ViT-FT	8.8	Detect Everything with Few Examples

0 of 4 row(s) selected.

mAP

Performance results of various models on this benchmark

		Paper Title
Detic-FT	16.8	Detecting Twenty-thousand Classes using Image-level Supervision
ViTDeT-FT	15.8	Exploring Plain Vision Transformer Backbones for Object Detection
CD-ViTO	12.8	Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
DE-ViT-FT	8.8	Detect Everything with Few Examples

0 of 4 row(s) selected.