Heedless Backbones

SwiftFormer 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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Cityscapes (val)

Cityscapes (test)

ADE20K (val)

ADE20K (test)

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

metric

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mIoU^ms

pAcc^ms

mAcc^ms

mIoU^ss

pAcc^ss

mAcc^ss

GFLOPs

head

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UPerNet

Mask2Former

Panoptic FPN

SETR

resolution

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512x2048

640x2560

axis

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

Legend

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Family

Pretrain Dataset

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

Legend attribute (second)

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Family

Pretrain Method

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

No Results

model	params (m)	pretrain	finetune	gflops	IN-1k
SwiftFormer-XS	3.5	IN-1k : Sup. : 300	— : — : —	0.6	75.7/—
SwiftFormer-S	6.1	IN-1k : Sup. : 300	— : — : —	1.0	78.5/—
SwiftFormer-L1	12.1	IN-1k : Sup. : 300	— : — : —	1.6	80.9/—
SwiftFormer-L3	28.5	IN-1k : Sup. : 300	— : — : —	4.0	83.0/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
SwiftFormer-L1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	41.2	63.2	44.8	—	—	—
SwiftFormer-L3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	42.7	64.4	46.7	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
SwiftFormer-L1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	38.1	60.2	40.7	—	—	—
SwiftFormer-L3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	39.1	61.7	41.8	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
SwiftFormer-L1	IN-1k : Sup. : 300	Panoptic FPN	ADE20K (train) : 64 : 512	None	—	—	—	41.4	—	—
SwiftFormer-L3	IN-1k : Sup. : 300	Panoptic FPN	ADE20K (train) : 64 : 512	None	—	—	—	43.9	—	—