Heedless Backbones

AnchorFormer 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

Pretrain Method

Classification Resolution

Legend attribute (second)

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Pretrain Dataset

Pretrain Method

Classification Resolution

model	params (m)	pretrain	finetune	GFLOPs	Top-1
AnchorFormer-T	4.2	IN-1k : Sup. : 300	— : — : —	0.7	81.12
AnchorFormer-S	18.6	IN-1k : Sup. : 300	— : — : —	2.7	84.69
AnchorFormer-B	63.5	IN-1k : Sup. : 300	— : — : —	9.2	86.62

model	params (m)	pretrain	finetune	gflops	IN-1k
AnchorFormer-T	4.2	IN-1k : Sup. : 300	— : — : —	0.7	81.12/93.86
AnchorFormer-S	18.6	IN-1k : Sup. : 300	— : — : —	2.7	84.69/96.82
AnchorFormer-B	63.5	IN-1k : Sup. : 300	— : — : —	9.2	86.62/97.84

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
AnchorFormer-T	IN-1k : Sup. : 300	Panoptic FPN	ADE20K (train) : 128 : 512	193.7	43.81	—	56.57	—	—	—
AnchorFormer-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	928.1	46.28	—	56.33	—	—	—