Heedless Backbones

ImageNet-C-bar Dataset

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axis

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Results

Parameters (M)

Images / Second

Publication Date

task

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Classification

metric

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CE↓

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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JFT-3B

ImageNet-1k

ImageNet-22k

JFT-300M

pretrain method

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Supervised

FCMAE

MAE

CL

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

family	model	params (m)	pretrain	finetune	GFLOPs	CE↓
ConvNeXt	ConvNeXt-L	198.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	101.0	29.9
ConvNeXt	ConvNeXt-B	89.0	IN-1k : Sup. : 300	— : — : —	15.4	34.4
ConvNeXt	ConvNeXt-B	89.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	45.1	30.7
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	— : — : —	4.5	40.0
ConvNeXt	ConvNeXt-XL	350.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	179.0	27.1

family	model	params (m)	pretrain	finetune	gflops	top-1↓	top-5↓
ConvNeXt	ConvNeXt-L	198.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	101.0	29.9	—
ConvNeXt	ConvNeXt-B	89.0	IN-1k : Sup. : 300	— : — : —	15.4	34.4	—
ConvNeXt	ConvNeXt-B	89.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	45.1	30.7	—
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	— : — : —	4.5	40.0	—
ConvNeXt	ConvNeXt-XL	350.0	IN-22k : Sup. : 90	IN-1k : 30 : 384	179.0	27.1	—