目标检测汇总（随心所欲更新）

Posted 2021-02-19 suckchen

梳理一遍，还需补充哪些欢迎指出。 指标 MS COCO

 

一、单阶段目标检测（基于anchor的）

	multi-scale	backbone	arxiv/ github	AP	AP50	AP75	APs	APM	APL	亮点	time
YOLO		DarkNet-53
SSD300（Google）		VGG	https://arxiv.org/pdf/1512.02325.pdf	23.2	41.2	23.4	5.3	23.2	38.6
SSD512x512		VGG		26.8	46.5	27.8	9.0	28.9	41.9
RetinaNet （FAIR facebook）		ResNet101FPN	https://arxiv.org/pdf/1708.02002.pdf	39.1	59.1	42.3	21.8	42.7	50.2	Focal loss 类别平衡损失
		ResNeXt101		40.8	61.1	44.1	24.1	44.2	51.2
RefineDet512 （ 中科院）		ResNet101	https://arxiv.org/pdf/1711.06897.pdf	36.4	57.5	39.5	16.6	39.9	51.4
	√			41.8	62.9	45.7	25.6	45.1	54.1
M2Det （阿里达摩+北大）		VGG16	https://arxiv.org/pdf/1811.04533.pdf	41.0	59.7	45.0	22.1	46.5	53.8
512x512	√	VGG16		44.2	64.6	49.3	29.2	47.9	55.1
800x800		ResNet101		38.8	59.4	41.7	20.5	43.9	53.4
	√	ResNet101		43.9	64.4	48.4	29.6	49.6	54.3
YOLO-v4 512X512		CSPDarknet-53	https://arxiv.org/pdf/2004.10934.pdf	43.0	64.9	46.5	24.3	46.1	55.2
608		CSPDarknet-53		43.5	65.7	47.3	26.7	46.7	53.3

　二、Anchor-Free

	multi-scale	arxiv	backbone	AP	AP50	AP75	APS	APM	APL	亮点
CornetNet		https://arxiv.org/pdf/1808.01244.pdf	Hourglass 104	40.5	56.5	43.1	19.4	42.7	53.9
	√		Hourglass 104	42.1	57.8	45.3	20.8	44.8	56.7
ExtremNet		https://arxiv.org/pdf/1901.08043.pdf	Hourglass 104	40.2	55.5	43.2	20.4	43.2	53.1
	√		Hourglass 104	43.7	60.5	47.0	24.1	46.9	57.6
FSAF800		https://arxiv.org/pdf/1903.00621.pdf	ResNext-101	42.9	63.8	46.3	26.6	46.2	52.7
FSAF	√			44.6	65.2	48.6	29.7	47.1	54.6
FCOS		https://arxiv.org/pdf/1904.01355.pdf	Hourglass109	40.5	56.5	43.1	19.4	42.7	53.9
			ResNeXt-64x4d-101-FPN	44.7	64.1	48.1	27.6	47.5	55.6
FoveaBox		https://arxiv.org/pdf/1904.03797v1.pdf	resnet101	40.6	60.1	43.5	23.3	45.2	54.5
			ResNeXt101	42.1	61.9	45.2	24.9	46.8	55.6
RPDet		https://arxiv.org/pdf/1904.11490.pdf	ResNet101	41.0	62.9	44.3	23.6	44.1	51.7
	√		ResNet101-DCN	43.5	61.3	46.7	25.3	45.3	55.0
CenterNet：keypoint triplet		https://arxiv.org/pdf/1904.08189.pdf	Hourglass 52	41.6	59.4	44.2	22.5	43.1	54.1
			Hourglass 104	44.9	62.9	48.1	25.6	47.4	57.4
	√		Hourglass 52	43.5	61.3	46.7	25.3	45.3	55.0
	√		Hourglass 104	47.0	64.5	50.7	28.9	49.9	58.9

 

 

三、二阶段目标检测：

　　Faster RCNN

　　DetNet  2018

　　Cascade RCNN

 　　LibraRCNN

　　efficientDet

　　maskrcnn

 

　

 

四、轻量化的目标检测

	input size	backbone	arxiv		AP	AP50	AP75	亮点
ThunderNet	320x320	SNet146	https://arxiv.org/pdf/1903.11752.pdf		23.6	40.2	24.5
	320x320	SENet535			28.0	46.2	29.5