Heedless Backbones

BiFormer Family

Paper | GitHub

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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MegData73M

JFT-3B

JFT-300M

ImageNet-1k

ImageNet-22k

pretrain method

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Supervised

Sup. + TL

FCMAE

MAE

CL

Legend

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Family

Pretrain Dataset

Instance Head

Instance Training Epochs

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Family

Pretrain Method

Instance Head

Instance Training Epochs

No Results

model	params (m)	pretrain	finetune	gflops	IN-1k
BiFormer-T	13.1	IN-1k : Sup. : 300	— : — : —	2.2	81.4/—
BiFormer-S	26.0	IN-1k : Sup. : 300	— : — : —	4.5	83.8/—
BiFormer-S	26.0	IN-1k : Sup. + TL : 300	— : — : —	4.5	84.3/—
BiFormer-B	57.0	IN-1k : Sup. : 300	— : — : —	9.8	84.3/—
BiFormer-B	57.0	IN-1k : Sup. + TL : 300	— : — : —	9.8	85.4/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
BiFormer-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	45.9	66.9	49.4	30.2	49.6	61.7
BiFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	47.8	69.8	52.3	—	—	—
BiFormer-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	47.1	68.5	50.4	31.3	50.8	62.6
BiFormer-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	48.6	70.5	53.8	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
BiFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.2	66.8	46.5	—	—	—
BiFormer-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.7	67.6	47.1	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
BiFormer-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	50.8	—	—	49.8	—	—
BiFormer-S	IN-1k : Sup. : 300	Panoptic FPN	ADE20K (train) : 128 : 512	None	—	—	—	48.9	—	—
BiFormer-B	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	51.7	—	—	51.0	—	—
BiFormer-B	IN-1k : Sup. : 300	Panoptic FPN	ADE20K (train) : 128 : 512	None	—	—	—	49.9	—	—