Result details - ScanNet Benchmark

Submitted by Sheng Ye.

Submission data

Full name	Interpretable Multimodal Fusion for Point Cloud Semantic Segmentation
Description	The existing state-of-the-art point cloud semantic segmentation relies on structure information only, which omit the texture information. In this paper, we propose a new multimodal fusion method to generate semantic labels by considering both structure and texture information.
Input Data Types	Uses Color Uses 3D
Programming language(s)	python with CUDA
Hardware	one NVIDIA 3090 GPU
Submission creation date	21 Nov, 2024
Last edited	21 Nov, 2024
Last uploaded	10 Jan, 2025

3D semantic label results

Info	avg iou	head iou	common iou	tail iou	wall	chair	floor	table	door	couch	cabinet	shelf	desk	office chair	bed	pillow	sink	picture	window	toilet	bookshelf	monitor	curtain	book	armchair	coffee table	box	refrigerator	lamp	kitchen cabinet	towel	clothes	tv	nightstand	counter	dresser	stool	cushion	plant	ceiling	bathtub	end table	dining table	keyboard	bag	backpack	toilet paper	printer	tv stand	whiteboard	blanket	shower curtain	trash can	closet	stairs	microwave	stove	shoe	computer tower	bottle	bin	ottoman	bench	board	washing machine	mirror	copier	basket	sofa chair	file cabinet	fan	laptop	shower	paper	person	paper towel dispenser	oven	blinds	rack	plate	blackboard	piano	suitcase	rail	radiator	recycling bin	container	wardrobe	soap dispenser	telephone	bucket	clock	stand	light	laundry basket	pipe	clothes dryer	guitar	toilet paper holder	seat	speaker	column	bicycle	ladder	bathroom stall	shower wall	cup	jacket	storage bin	coffee maker	dishwasher	paper towel roll	machine	mat	windowsill	bar	toaster	bulletin board	ironing board	fireplace	soap dish	kitchen counter	doorframe	toilet paper dispenser	mini fridge	fire extinguisher	ball	hat	shower curtain rod	water cooler	paper cutter	tray	shower door	pillar	ledge	toaster oven	mouse	toilet seat cover dispenser	furniture	cart	storage container	scale	tissue box	light switch	crate	power outlet	decoration	sign	projector	closet door	vacuum cleaner	candle	plunger	stuffed animal	headphones	dish rack	broom	guitar case	range hood	dustpan	hair dryer	water bottle	handicap bar	purse	vent	shower floor	water pitcher	mailbox	bowl	paper bag	alarm clock	music stand	projector screen	divider	laundry detergent	bathroom counter	object	bathroom vanity	closet wall	laundry hamper	bathroom stall door	ceiling light	trash bin	dumbbell	stair rail	tube	bathroom cabinet	cd case	closet rod	coffee kettle	structure	shower head	keyboard piano	case of water bottles	coat rack	storage organizer	folded chair	fire alarm	power strip	calendar	poster	potted plant	luggage	mattress
	0.334	0.532	0.251	0.179	0.799	0.683	0.940	0.555	0.631	0.740	0.406	0.336	0.560	0.062	0.795	0.518	0.733	0.274	0.646	0.947	0.458	0.848	0.862	0.305		0.649	0.284	0.713	0.495	0.626	0.527	0.363	0.820	0.574	0.010	0.411	0.597	0.000	0.842	0.873	0.704	0.246	0.000	0.495	0.041	0.486	0.305	0.444	0.604	0.134	0.055	0.852	0.633	0.076	0.792	0.612	0.573	0.484	0.668	0.216	0.000		0.197	0.518	0.784	0.344	0.908	0.283	0.190	0.599	0.439	0.496	0.569	0.000	0.392	0.776	0.000	0.064	0.000	0.000	0.710	0.756	0.508		0.512	0.159		0.034	0.773	0.363	0.000	0.000	0.000	0.032	0.000	0.029	0.648			0.000	0.000	0.000	0.830	0.595	0.274	0.228	0.206	0.188	0.000	0.425	0.237	0.123	0.000	0.277	0.214	0.003	0.610	0.044	0.124			0.320	0.408	0.594	0.196	0.213	0.139	0.000	0.615	0.618	0.839	0.000			0.014		0.260			0.080	0.025	0.000	0.139	0.135		0.035	0.000	0.000	0.793		0.799	0.000	0.357	0.000	0.369	0.359	0.000		0.512			0.000			0.000	0.120	0.424	0.903	0.027	0.091		0.000	0.245		0.000		0.073	0.457		0.340	0.191	0.021	0.009	0.322	0.608	0.060	0.000		0.494	0.000	0.000	0.068	0.624	0.000	0.000	0.000	0.139	0.047	0.000	0.561	0.000