Heedless Backbones

U-InternImage 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

Legend

Legend attribute

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Family

Pretrain Dataset

Classification Resolution

Legend attribute (second)

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Family

Pretrain Method

Classification Resolution

model	params (m)	pretrain	finetune	GFLOPs	Top-1
U-InternImage-Micro	4.3	IN-1k : Sup. : 300	— : — : —	0.65	75.3
U-InternImage-Tiny	29.9	IN-1k : Sup. : 300	— : — : —	4.83	83.3
U-InternImage-Small	50.1	IN-1k : Sup. : 300	— : — : —	8.24	84.1
U-InternImage-Base	97.5	IN-1k : Sup. : 300	— : — : —	16.08	84.5

model	params (m)	pretrain	finetune	gflops	IN-1k
U-InternImage-Micro	4.3	IN-1k : Sup. : 300	— : — : —	0.65	75.3/—
U-InternImage-Tiny	29.9	IN-1k : Sup. : 300	— : — : —	4.83	83.3/—
U-InternImage-Small	50.1	IN-1k : Sup. : 300	— : — : —	8.24	84.1/—
U-InternImage-Base	97.5	IN-1k : Sup. : 300	— : — : —	16.08	84.5/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
U-InternImage-Micro	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	39.5	—	—	22.8	42.9	52.7
U-InternImage-Tiny	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	47.2	—	—	30.4	51.3	61.3
U-InternImage-Small	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	47.8	—	—	30.3	51.8	62.4
U-InternImage-Base	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	48.7	—	—	33.1	52.5	63.4

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
U-InternImage-Micro	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	36.6	—	—	17.4	39.4	53.6
U-InternImage-Tiny	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	42.5	—	—	23.3	45.9	60.9
U-InternImage-Small	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.0	—	—	23.1	46.3	61.7
U-InternImage-Base	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.8	—	—	25.0	46.9	62.3