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Object Detection on COCO mini (val)

62.5AP

SwinV2-G (HTC++)

Updated 16d ago

Evaluation Results

Method
SwinV2-G (HTC++) 2021.11	62.5	-	-	-	-	-	-
Florence 2021.11	62	-	-	-	-	-	-
SwinV2-G (HTC++) 2021.11	61.9	-	-	-	-	-	-
SwinV2-G (HTC++) 2021.11	61.7	-	-	-	-	-	-
Soft Teacher 2021.11	60.7	-	-	-	-	-	-
SoftTeacher 2021.11	60.7	-	-	-	-	-	-
DyHead 2021.11	60.3	-	-	-	-	-	-
DyHead 2021.11	60.3	-	-	-	-	-	-
SwinV2-L (HTC++) 2021.11	60.2	-	-	-	-	-	-
CBNet 2021.11	59.6	-	-	-	-	-	-
CB-Swin-L (HTC) 2021.07	59.6	-	-	-	-	-	-
CB-Swin-L (HTC) 2021.07	59.1	-	-	-	-	-	-
SwinV2-L (HTC++) 2021.11	58.9	-	-	-	-	-	-
CB-Swin-B (HTC) 2021.07	58.9	-	-	-	-	-	-
SwinV2-L (HTC++) 2021.11	58.8	-	-	-	-	-	-
Focal-L 2021.07	58.7	-	-	-	-	-	-
Swin-L 2021.07	58.4	-	-	-	-	-	-
CB-Swin-B (HTC) 2021.07	58.4	-	-	-	-	-	-
Focal-L 2021.07	58.1	-	-	-	-	-	-
Swin-L 2021.07	58	-	-	-	-	-	-
SwinV1-L 2021.11	58	-	-	-	-	-	-
Swin-L (HTC++) 2021.07	58	-	-	-	-	-	-
Swin-L (HTC++) 2021.03	58	-	-	-	-	-	-
Swin-L 2021.07	57.1	-	-	-	-	-	-
Swin-L (HTC++) 2021.07	57.1	-	-	-	-	-	-
Swin-L (HTC++) 2021.03	57.1	-	-	-	-	-	-
Focal-L 2021.07	57	-	-	-	-	-	-
CopyPaste 2021.11	57	-	-	-	-	-	-
Focal-L 2021.07	56.4	-	-	-	-	-	-
Swin-B (HTC++) 2021.03	56.4	-	-	-	-	-	-
CB-Swin-S (Cascade Mask R-CNN) 2021.07	56.3	-	-	-	-	-	-
Swin-L 2021.07	56.2	-	-	-	-	-	-
Swin-L 2021.07	56.1	-	-	-	-	-	-
Copy-paste 2021.07	55.9	-	-	-	-	-	-
CopyPaste 2021.07	55.9	-	-	-	-	-	-
Copy-paste 2021.03	55.9	-	-	-	-	-	-
EfficientNet-D7 2021.07	54.4	-	-	-	-	-	-
EfficientDet-D7 2021.03	54.4	-	-	-	-	-	-
PET-DINO 2026.04	54	-	-	-	-	-	-
MM-Grounding-DINO 2026.04	53	-	-	-	-	-	-
SpineNet-190 2021.07	52.6	-	-	-	-	-	-
SpineNet-190 2021.03	52.6	-	-	-	-	-	-
ResNeSt-200 2021.07	52.5	-	-	-	-	-	-
ResNeSt-200 2021.07	52.5	-	-	-	-	-	-
ResNeSt-200 2021.03	52.5	-	-	-	-	-	-
Grounding DINO 2026.04	52.5	-	-	-	-	-	-
X101-64x4d 2021.07	52.3	-	-	-	-	-	-
X101-64 (HTC++) 2021.03	52.3	-	-	-	-	-	-
Swin-B 2021.07	51.9	-	-	-	-	-	-
GCNet* 2021.07	51.8	-	-	-	-	-	-
GCNet 2021.07	51.8	-	-	-	-	-	-
GCNet 2021.03	51.8	-	-	-	-	-	-
MM-Grounding-DINO 2026.04	50.6	-	-	-	-	-	-
PET-DINO 2026.04	49.8	-	-	-	-	-	-
BoTNet-200 2021.07	49.7	-	-	-	-	-	-
PRISMamba 2026.02	48.9	70.7	52.6	-	-	-	-
Swin-S 2021.06	48.5	70.2	53.5	-	-	-	-
XCiT-M24/8 2021.06	48.5	70.3	53.4	-	-	-	-
Grounding DINO 2026.04	48.4	-	-	-	-	-	-
XCiT-S24/8 2021.06	48.1	69.5	53	-	-	-	-
GroupMamba 2026.02	47.6	69.8	52.1	-	-	-	-
DefMamba 2026.02	47.5	69.6	51.7	-	-	-	-
XCiT-S12/8 2021.06	47	68.9	51.7	-	-	-	-
VSSD 2026.02	46.9	69.4	51.4	-	-	-	-
FractalMamba 2026.02	46.8	68.7	50.8	-	-	-	-
XCiT-M24/16 2021.06	46.7	68.2	51.1	-	-	-	-
QuadMamba 2026.02	46.7	69	51.3	-	-	-	-
LocalMamba 2026.02	46.7	68.7	50.8	-	-	-	-
XCiT-S24/16 2021.06	46.5	68	50.9	-	-	-	-
VMamba 2026.02	46.5	68.5	50.7	-	-	-	-
Adventurer 2026.02	46.5	65.2	50.4	-	-	-	-
Swin-T 2021.06	46	68.1	50.3	-	-	-	-
PlainMamba-Adapter 2026.02	46	66.9	50.1	-	-	-	-
ViL-Large 2021.06	45.7	67.2	49.9	-	-	-	-
Vim 2026.02	45.7	63.9	49.6	-	-	-	-
XCiT-S12/16 2021.06	45.3	67	49.5	-	-	-	-
x^3 + dynamic scale 2024.10	45.1	66.5	49.4	-	-	-	-
softmax 2024.10	44.9	66.1	48.9	-	-	-	-
x^3 + fixed scale 2024.10	44.8	66.3	49.1	-	-	-	-
ViL-Medium 2021.06	44.6	66.3	48.5	-	-	-	-
PVT-Large 2021.06	44.5	66	48.3	-	-	-	-
ResNeXt101-64 2021.06	44.4	64.9	48.8	-	-	-	-
PVT-Medium 2021.06	44.2	66	48.2	-	-	-	-
ResNeXt101-32 2021.06	44	64.4	48	-	-	-	-
ViL-Small 2021.06	43.4	64.9	47	-	-	-	-
RevBiFPN-S6 2022.06	43.3	-	-	26.9	47.4	55.6	-
PVT-Small 2021.06	43	65.3	46.9	-	-	-	-
ResNet101 2021.06	42.8	63.2	47.1	-	-	-	-
HRNETV2P-W32 2022.06	42.3	-	-	25	45.4	54.9	-
RevBiFPN-S6 2022.06	42.2	63.5	45.8	25.7	46.5	54	-
RevBiFPN-S5 2022.06	42.2	-	-	25.5	46.3	54.3	-
HRNETV2P-W48 2022.06	41.8	62.8	45.9	25	44.7	54.6	-
XCiT-T12/8 2021.06	41.6	64.7	45.3	-	-	-	-
EfficientVMamba 2026.02	41.6	63.2	45.3	-	-	-	-
RevBiFPN-S4 2022.06	41.5	-	-	24.2	45.4	53.9	-
RevBiFPN-S5 2022.06	41.3	62.7	44.8	24.8	45.6	52.5	-
HRNETV2P-W48 2022.06	41.3	62.8	45.1	25.1	44.5	52.9	-
ResNet50 2021.06	41	61.7	44.9	-	-	-	-
RESNET-101-FPN 2022.06	41	-	-	23.4	44.4	53.9	-
HRNETV2P-W32 2022.06	40.9	61.8	44.8	24.4	43.7	53.3	-

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