Heedless Backbones

SDT-V3+SCA 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

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

Legend

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Family

Pretrain Dataset

Pretrain Method

Classification Resolution

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Pretrain Dataset

Pretrain Method

Classification Resolution

No Results

model	params (m)	pretrain	finetune	gflops	IN-1k
SDT-V3+SCA-S	5.1	IN-1k : Sup. : 200	— : — : —	None	75.91/—
SDT-V3+SCA-M	10.0	IN-1k : Sup. : 200	— : — : —	None	79.13/—
SDT-V3+SCA-L	19.0	IN-1k : Sup. : 200	— : — : —	None	80.66/—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
SDT-V3+SCA-S	IN-1k : Sup. : 200	Panoptic FPN	ADE20K (train) : 160 : 512	None	—	—	—	36.28	—	—
SDT-V3+SCA-M	IN-1k : Sup. : 200	Panoptic FPN	ADE20K (train) : 160 : 512	None	—	—	—	41.23	—	—
SDT-V3+SCA-L	IN-1k : Sup. : 200	Panoptic FPN	ADE20K (train) : 160 : 512	None	—	—	—	42.76	—	—