Heedless Backbones

Shuffle 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

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

Classification Resolution

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Family

Pretrain Method

Classification Resolution

model	params (m)	pretrain	finetune	GFLOPs	Top-1
Shuffle-T	29.0	IN-1k : Sup. : 300	— : — : —	4.6	82.5
Shuffle-S	50.0	IN-1k : Sup. : 300	— : — : —	8.9	83.5
Shuffle-B	88.0	IN-1k : Sup. : 300	— : — : —	15.6	84.0

model	params (m)	pretrain	finetune	gflops	IN-1k
Shuffle-T	29.0	IN-1k : Sup. : 300	— : — : —	4.6	82.5/—
Shuffle-S	50.0	IN-1k : Sup. : 300	— : — : —	8.9	83.5/—
Shuffle-B	88.0	IN-1k : Sup. : 300	— : — : —	15.6	84.0/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
Shuffle-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	46.8	68.9	51.5	—	—	—
Shuffle-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	746.0	50.8	69.6	55.1	—	—	—
Shuffle-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	48.4	70.1	53.5	—	—	—
Shuffle-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	844.0	51.9	70.9	56.4	—	—	—
Shuffle-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	989.0	52.2	71.3	57.0	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
Shuffle-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	42.3	66.0	45.6	—	—	—
Shuffle-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	746.0	44.1	66.9	48.0	—	—	—
Shuffle-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	43.3	67.3	46.7	—	—	—
Shuffle-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	844.0	44.9	67.8	48.6	—	—	—
Shuffle-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	989.0	45.3	68.5	48.9	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
Shuffle-T	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	949.0	47.6	—	—	46.6	—	—
Shuffle-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1044.0	49.6	—	—	48.4	—	—
Shuffle-B	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1196.0	50.5	—	—	49.0	—	—