notesum.ai

Published at November 4

cs.CV

cs.AI

Released Date: November 4, 2024

Authors: Kezheng Xiong¹, Haoen Xiang¹, Qingshan Xu², Chenglu Wen¹, Siqi Shen¹, Jonathan Li³, Cheng Wang¹

Aff.: ¹Xiamen University, China; ²Nanyang Technological University, Singapore; ³University of Waterloo, Waterloo, Canada

Dataset	Method	U	mRR	RR $@d\in$
Dataset	Method	U	mRR	$\left[5,10\right)$	$\left[10,20\right)$	$\left[20,30\right)$	$\left[30,40\right)$	$\left[40,50\right)$
KITTI	FCGF	–	77.4	98.4	95.3	86.8	69.7	36.9
	FCGF+C	–	84.6	100.0	97.5	90.1	79.1	56.3
	Predator	–	87.9	100.0	97.5	90.1	79.1	56.3
	SpinNet	–	39.1	99.1	82.5	13.7	0.0	0.0
	D3Feat	–	66.4	99.8	98.2	90.7	38.6	4.5
	CoFiNet	–	82.1	99.9	99.1	94.1	78.6	38.7
	GeoTrans.	–	42.2	100.0	93.9	16.6	0.7	0.0
	EYOC	✓	83.2	99.5	96.6	89.1	78.6	52.3
	RIENet	✓	50.7	96.3	72.1	38.2	24.4	22.6
	Ours	✓	84.0	99.5	97.1	89.6	79.6	54.2
nuScenes	FCGF	–	39.5	87.9	63.9	23.6	11.8	10.2
	FCGF+C	–	59.3	96.2	85.1	59.6	35.8	20.0
	Predator	–	51.0	99.7	72.2	52.8	16.2	14.3
	EYOC	✓	61.7	96.7	85.6	61.8	37.5	26.9
	RIENet	✓	47.1	96.5	57.9	36.6	25.8	18.9
	Ours	✓	63.1	97.1	86.9	62.9	39.6	29.4
KITTI ↓ nuScenes	EYOC	✓	55.3	96.2	75.6	58.7	26.6	19.7
	RIENet	✓	46.2	83.3	73.2	43.5	19.8	11.1
	Ours	✓	62.6	97.5	84.6	62.6	37.8	30.2