Heedless Backbones

GraphScan-Mamba Family

Paper | GitHub

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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)

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Top-1

Top-5

GFLOPs

resolution

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224x224

384x384

512x512

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

Legend

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Family

Pretrain Dataset

Classification Resolution

Legend attribute (second)

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Family

Pretrain Method

Classification Resolution

model	params (m)	pretrain	finetune	GFLOPs	Top-1
GraphScan-Mamba-T	28.0	IN-1k : Sup. : 300	— : — : —	5.2	84.4
GraphScan-Mamba-S	49.0	IN-1k : Sup. : 300	— : — : —	11.1	85.7
GraphScan-Mamba-B	93.0	IN-1k : Sup. : 300	— : — : —	17.8	86.5

model	params (m)	pretrain	finetune	gflops	IN-1k
GraphScan-Mamba-T	28.0	IN-1k : Sup. : 300	— : — : —	5.2	84.4/—
GraphScan-Mamba-S	49.0	IN-1k : Sup. : 300	— : — : —	11.1	85.7/—
GraphScan-Mamba-B	93.0	IN-1k : Sup. : 300	— : — : —	17.8	86.5/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
GraphScan-Mamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	49.1	70.9	—	—	—	—
GraphScan-Mamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	51.0	71.9	—	—	—	—
GraphScan-Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	50.7	72.1	—	—	—	—
GraphScan-Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	52.0	72.8	—	—	—	—
GraphScan-Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	51.9	73.0	—	—	—	—
GraphScan-Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	52.5	73.2	—	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
GraphScan-Mamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.9	67.7	—	—	—	—
GraphScan-Mamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	45.3	69.1	—	—	—	—
GraphScan-Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	45.3	69.1	—	—	—	—
GraphScan-Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	45.9	69.9	—	—	—	—
GraphScan-Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	46.0	69.9	—	—	—	—
GraphScan-Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	46.2	70.3	—	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
GraphScan-Mamba-T	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	942.0	51.8	—	—	50.9	—	—
GraphScan-Mamba-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1065.0	52.9	—	—	52.1	—	—
GraphScan-Mamba-B	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1210.0	53.6	—	—	53.2	—	—