FAN Family

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axis

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Results

Parameters (M)

Images / Second

Publication Date

task

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Object Detection

Instance Segmentation

Classification

Semantic Segmentation

Panoptic Segmentation

dataset

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COCO (val)

COCO (test)

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

metric

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mAP

AP₅₀

AP₇₅

mAP_s

mAP_m

mAP_l

GFLOPs

head

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Mask R-CNN

Cascade Mask R-CNN

RetinaNet

DINO

HTC++

HTC

FCOS

Faster R-CNN

axis

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

pretrain dataset

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ImageNet-1k

ImageNet-22k

JFT-300M

JFT-3B

MegData73M

pretrain method

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Supervised

Sup. + TL

FCMAE

MAE

MAP

Legend

Legend attribute

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Family

Pretrain Dataset

Instance Head

Instance Training Epochs

Legend attribute (second)

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Family

Pretrain Method

Instance Head

Instance Training Epochs

No Results

model	params (m)	pretrain	finetune	gflops	IN-1k	IN-R	IN-C↓	IN-A
FAN-T-ViT	7.0	IN-1k : Sup. : 300	— : — : —	1.3	79.2/—	—/—	—/—	—/—
FAN-T-Hybrid	7.0	IN-1k : Sup. : 300	— : — : —	3.5	80.1/—	—/—	—/—	—/—
FAN-T-Hybrid	7.0	IN-1k : Sup. + TL : 350	— : — : —	3.6	79.9/—	—/—	—/—	—/—
FAN-S-ViT	28.0	IN-1k : Sup. : 300	— : — : —	5.3	82.9/—	50.4/—	47.7/—	29.1/—
FAN-S-Hybrid	26.0	IN-1k : Sup. : 300	— : — : —	6.7	83.5/—	50.7/—	47.8/—	33.9/—
FAN-S-Hybrid	26.0	IN-1k : Sup. + TL : 350	— : — : —	6.8	83.5/—	51.8/—	47.3/—	38.2/—
FAN-B-ViT	54.0	IN-1k : Sup. : 300	— : — : —	10.4	83.6/—	51.8/—	44.4/—	35.4/—
FAN-B-Hybrid	50.0	IN-1k : Sup. : 300	— : — : —	11.3	83.9/—	52.9/—	45.2/—	39.6/—
FAN-B-Hybrid	50.0	IN-1k : Sup. + TL : 350	— : — : —	11.4	84.5/—	55.3/—	43.6/—	42.6/—
FAN-B-Hybrid	50.0	IN-22k : Sup. : 90	IN-1k : 30 : 224	11.3	85.6/—	—/—	—/—	—/—
FAN-L-ViT	81.0	IN-1k : Sup. : 300	— : — : —	15.8	83.9/—	53.1/—	43.3/—	37.2/—
FAN-L-Hybrid	76.8	IN-1k : Sup. : 300	— : — : —	16.9	84.3/—	53.2/—	43.0/—	41.8/—
FAN-L-Hybrid	76.8	IN-22k : Sup. : 90	IN-1k : 30 : 384	None	87.1/—	71.1/—	36.0/—	74.5/—
FAN-L-Hybrid	76.8	IN-22k : Sup. : 90	IN-1k : 30 : 224	16.9	86.5/—	64.3/—	35.8/—	60.7/—
FAN-L-Hybrid	76.8	IN-1k : Sup. + TL : 350	— : — : —	17.0	84.7/—	56.6/—	42.5/—	46.1/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
FAN-T-Hybrid	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	45.8	—	—	—	—	—
FAN-T-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	50.2	—	—	—	—	—
FAN-S-Hybrid	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	49.1	—	—	—	—	—
FAN-S-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	53.3	—	—	—	—	—
FAN-S-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	53.4	—	—	—	—	—
FAN-B-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	53.9	—	—	—	—	—
FAN-L-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	54.1	—	—	—	—	—
FAN-L-Hybrid	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	None	55.1	—	—	—	—	—
FAN-L-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	54.1	—	—	—	—	—

Cityscapes (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
FAN-T-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	81.2	—	—
FAN-S-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	81.5	—	—
FAN-B-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.2	—	—
FAN-B-Hybrid	IN-1k : Sup. + TL : 350	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.5	—	—
FAN-L-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.3	—	—
FAN-L-Hybrid	IN-1k : Sup. + TL : 350	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.8	—	—