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Object Detection on COCO-FSOD 30-shot COCO-20

45.8nAP

FSOD-VFM-L

Updated 1mo ago

Evaluation Results

Method	Links
FSOD-VFM-L 2026.02		45.8	61.9	49.4
FSOD-VFM-B 2026.02		43.7	59.6	47.1
Training-free 2025.07		36.8	54.5	38.7
No-Time-To-Train 2026.02		36.8	54.5	38.7
CD-VITO (ViT-L) 2025.07		35.9	54.5	38
CD-ViTO 2024.02		35.9	54.5	38
CD-ViTO (ViT-L) 2026.02		35.9	54.5	38
DE-VIT (ViT-L) 2025.07		34	52.9	37.2
DE-ViT 2024.02		34	52.9	37.2
DE-ViT (ViT-L) 2026.02		34	52.9	37.2
CD-ViTO 2024.02		33.6	51.6	36.1
DE-ViT 2024.02		33.4	51.4	35.7
CD-ViTO 2024.02		27.8	43.5	29.5
DE-ViT 2024.02		26.9	43.1	28.4
LVC 2025.07		26.8	45.8	27.5
LVC 2024.02		26.8	45.8	27.5
LVC 2026.02		26.8	45.8	27.5
C. Transformer 2025.07		21.4	35.5	22.1
Cross-Transformer 2024.02		21.4	35.5	22.1
C. Transformer 2026.02		21.4	35.5	22.1
NIFF 2025.07		20.9	-	-
NIFF 2024.02		20.9	-	-
NIFF 2026.02		20.9	-	-
Meta F. R-CNN 2025.07		16.6	31.8	15.8
Meta Faster R-CNN 2024.02		16.6	31.8	15.8
Meta F. R-CNN 2026.02		16.6	31.8	15.8
HeteroGraph 2025.07		16.5	31.9	15.5
HeteroGraph 2024.02		16.5	31.9	15.5
HeteroGraph 2026.02		16.5	31.9	15.5
FSCE 2025.07		16.4	-	16.2
FSCE 2024.02		16.4	-	16.2
FSCE 2026.02		16.4	-	16.2
DiGeo 2025.07		14.2	26.2	14.8
DiGeo 2024.02		14.2	26.2	14.8
DiGeo 2026.02		14.2	26.2	14.8
Retentive RCNN 2025.07		13.8	22.9	13.8
Retentive RCNN 2024.02		13.8	22.9	13.8
Retentive RCNN 2026.02		13.8	22.9	13.8
TFA 2025.07		13.5	24.9	13.2
TFA 2024.02		13.5	24.9	13.2
TFA 2026.02		13.5	24.9	13.2
Meta R-CNN 2025.07		9.9	25.3	10.8
Meta R-CNN 2024.02		9.9	25.3	10.8
Meta R-CNN 2026.02		9.9	25.3	10.8
FSRW 2025.07		9.1	19	7.6
FSRW 2024.02		9.1	19	7.6
FSRW 2026.02		9.1	19	7.6