Heedless Backbones

FractalMamba++ 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)

Cityscapes (val)

Cityscapes (test)

ADE20K (val)

ADE20K (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

Mask2Former

HTC++

HTC

Panoptic FPN

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

CL

MAP

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

model	params (m)	pretrain	head	train	GFLOPs	mAP
FractalMamba++ (T)	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	43.2
FractalMamba++ (T)	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	44.1
FractalMamba++ (M)	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	40.3
FractalMamba++ (M)	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	42.2

model	params (m)	pretrain	finetune	gflops	IN-1k
FractalMamba++ (T)	30.0	IN-1k : Sup. : 300	— : — : —	None	67.5/—
FractalMamba++ (M)	11.0	IN-1k : Sup. : 300	— : — : —	None	56.1/—
FractalMamba++ (N)	7.0	IN-1k : Sup. : 300	— : — : —	None	42.5/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	47.8	69.8	52.5	—	—	—
FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	49.5	71.0	54.6	—	—	—
FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	44.1	66.2	48.0	—	—	—
FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	46.8	68.5	51.3	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	43.2	66.8	46.6	—	—	—
FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	44.1	67.9	47.5	—	—	—
FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	40.3	63.2	43.4	—	—	—
FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	42.2	65.4	45.3	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
FractalMamba++ (T)	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 640 : 512	957.0	49.7	—	—	48.8	—	—
FractalMamba++ (M)	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 640 : 512	889.0	46.2	—	—	45.8	—	—
FractalMamba++ (N)	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 640 : 512	860.0	45.0	—	—	44.5	—	—