Heedless Backbones

Mamba-R 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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ImageNet-1k

ImageNet-A

ImageNet-R

ImageNet-Sketch

ImageNet-C

ImageNet-C-bar

ImageNet-V2

ImageNet-ReaL

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

metric

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Top-1

Top-5

GFLOPs

resolution

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224x224

384x384

512x512

axis

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

Legend

Legend attribute

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Family

Pretrain Dataset

Pretrain Method

Classification Resolution

Legend attribute (second)

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Pretrain Dataset

Pretrain Method

Classification Resolution

No Results

model	params (m)	pretrain	finetune	gflops	IN-1k
Mamba-R-T	9.0	IN-1k : Sup. : 300	— : — : —	None	77.4/—
Mamba-R-S	28.0	IN-1k : Sup. : 300	IN-1k : 100 : 224 → IN-1k : 20 : 224	None	81.4/—
Mamba-R-B	99.0	IN-1k : Sup. : 300	IN-1k : 100 : 224 → IN-1k : 20 : 224	None	83.0/—
Mamba-R-B	99.0	IN-1k : Sup. : 300	IN-1k : 100 : 224 → IN-1k : — : 384	None	84.3/—
Mamba-R-L	341.0	IN-1k : Sup. : 300	IN-1k : 100 : 224 → IN-1k : 20 : 224	None	83.6/—
Mamba-R-L	341.0	IN-1k : Sup. : 300	IN-1k : 100 : 224 → IN-1k : — : 384	None	84.5/—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
Mamba-R-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	—	—	—	45.3	—	—
Mamba-R-B	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	—	—	—	47.7	—	—
Mamba-R-L	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	—	—	—	49.1	—	—