Results for OA-CNNs-Small

Submission info

Full name	OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
Publication title	OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
Publication authors	Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia
Publication venue	Journal of Intelligent & Fuzzy Systems, Volume 43, Issue 5
Publication url	https://arxiv.org/abs/2403.14418
Project link	https://github.com/Pointcept/Pointcept
Hardware	1x RTX 3080 (10gb)
Code	Code available with license: MIT
Use other data	No
Last edited	20 August, 2024

Method details

Use DSLR RGB: No
Use iPhone RGB-D: No
Use mesh geometry: No
Use high-resolution pointcloud: No

3D semantic segmentation results

	mIoU	wall	ceiling	floor	table	door	ceiling lamp	cabinet	blinds	curtain	chair	storage cabinet	office chair	bookshelf	whiteboard	window	box	window frame	monitor	shelf	doorframe	pipe	heater	kitchen cabinet	sofa	windowsill	bed	shower wall	trash can	book	plant	blanket	tv	computer tower	kitchen counter	refrigerator	jacket	electrical duct	sink	bag	picture	pillow	towel	suitcase	backpack	crate	keyboard	rack	toilet	paper	printer	poster	painting	microwave	board	shoes	socket	bottle	bucket	cushion	basket	shoe rack	telephone	file folder	cloth	blind rail	laptop	plant pot	exhaust fan	cup	coat hanger	light switch	speaker	table lamp	air vent	clothes hanger	kettle	smoke detector	container	power strip	slippers	paper bag	mouse	cutting board	toilet paper	paper towel	pot	clock	pan	tap	jar	soap dispenser	binder	bowl	tissue box	whiteboard eraser	toilet brush	spray bottle	headphones	stapler	marker
TOP-1	0.39256	0.81089	0.89555	0.93262	0.73986	0.62997	0.90258	0.32910	0.87964	0.76919	0.68344	0.41593	0.80131	0.52303	0.74710	0.51031	0.37450	0.33032	0.87431	0.24466	0.37842	0.72169	0.75750	0.53538	0.81116	0.64600	0.64947	0.06647	0.57702	0.16165	0.86145	0.52324	0.94150	0.48332	0.16465	0.54041	0.64267	0.32393	0.63434	0.13702	0.18332	0.27982	0.46844	0.40099	0.47829	0.14010	0.73643	0.01078	0.86023	0.12881	0.23983	0.12526	0.02213	0.78649	0.07295	0.35992	0.20142	0.33909	0.16874	0.09373	0.02147	0.29669	0.63423	0.01182	0.00000	0.54142	0.13780	0.33851	0.57357	0.38622	0.03524	0.44844	0.15279	0.44531	0.00000	0.05504	0.40191	0.41661	0.00190	0.18976	0.19842	0.20889	0.70342	0.09834	0.19511	0.21700	0.00000	0.62592	0.19390	0.51843	0.05314	0.62025	0.00000	0.12143	0.15272	0.31251	0.57293	0.01554	0.24726	0.04747	0.01597
TOP-3	0.62517	0.94471	0.98302	0.98521	0.87913	0.89813	0.95626	0.55329	0.98028	0.95187	0.88180	0.63117	0.96441	0.70975	0.93805	0.86368	0.58123	0.80642	0.93578	0.38735	0.89561	0.95086	0.89142	0.75980	0.93814	0.87680	0.91614	0.63607	0.80841	0.65994	0.93849	0.81606	0.97631	0.72460	0.40298	0.78343	0.74884	0.83946	0.82889	0.43151	0.59138	0.71255	0.66330	0.57329	0.73788	0.38607	0.89032	0.08029	0.96197	0.46744	0.48692	0.41598	0.27699	0.84136	0.12910	0.83459	0.67346	0.53773	0.62868	0.64137	0.11119	0.96280	0.86112	0.22307	0.04665	0.95023	0.48403	0.66144	0.88884	0.51795	0.32612	0.86472	0.52591	0.60265	0.02793	0.07302	0.65116	0.72429	0.01553	0.45104	0.61008	0.55201	0.92753	0.52860	0.24806	0.28578	0.00000	0.74363	0.33868	0.77163	0.18564	0.87073	0.00000	0.25799	0.33362	0.61627	0.70018	0.18150	0.43713	0.08816	0.68450