Heedless Backbones

PASCAL VOC 2007 (test) Dataset

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Results

Parameters (M)

Images / Second

Publication Date

task

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Object Detection

Classification

Semantic Segmentation

metric

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mAP

AP₅₀

AP₇₅

mAP_s

mAP_m

mAP_l

GFLOPs

head

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Mask R-CNN

Cascade Mask R-CNN

RetinaNet

DINO

HTC++

HTC

FCOS

Faster R-CNN

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

pretrain dataset

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MegData73M

JFT-3B

JFT-300M

ImageNet-1k

ImageNet-22k

pretrain method

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Supervised

Sup. + TL

FCMAE

MAE

CL

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Family

Pretrain Dataset

Pretrain Method

Instance Head

Instance Training Epochs

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Pretrain Dataset

Pretrain Method

Instance Head

Instance Training Epochs

family	model	params (m)	pretrain	head	train	GFLOPs	mAP
SLaK	SLaK-T	30.0	IN-1k : Sup. : 300	Faster R-CNN	PASCAL VOC 2007 (train + val) : 36	205.0	82.7

family	model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
SLaK	SLaK-T	IN-1k : Sup. : 300	Faster R-CNN	PASCAL VOC 2007 (train + val) : 36	205.0	82.7	—	—	—	—	—