Heedless Backbones

Cityscapes (val) Dataset

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axis

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Results

Parameters (M)

Images / Second

Publication Date

task

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Instance Segmentation

Semantic Segmentation

Panoptic Segmentation

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

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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

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Family

Pretrain Dataset

Pretrain Method

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

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Pretrain Dataset

Pretrain Method

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

family	model	params (m)	pretrain	head	train	GFLOPs	mIoU^ms
RepLKNet	RepLKNet-31B	79.0	IN-1k : Sup. : 300	UPerNet	Cityscapes (train) : 128 : 512	2315.0	83.5

family	model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
FAN (Fully Attentional Networks)	FAN-T-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	81.2	—	—
FAN (Fully Attentional Networks)	FAN-S-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	81.5	—	—
FAN (Fully Attentional Networks)	FAN-B-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.2	—	—
FAN (Fully Attentional Networks)	FAN-L-Hybrid	IN-1k : Sup. : 300	SETR	Cityscapes (train) : 128 : 1024	None	—	—	—	82.3	—	—
RepLKNet	RepLKNet-31B	IN-1k : Sup. : 300	UPerNet	Cityscapes (train) : 128 : 512	2315.0	83.5	—	—	83.1	—	—