Results for SceneMamba

Submission info

Full name	Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation
Publication title	TBD
Publication authors
Publication venue
Publication url
Project link	TBD
Hardware	4090 x 4
Use other data	Yes: ScanNet v2
Last edited	07 May, 2025

Method details

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

3D instance segmentation results

	mean	table	door	ceiling lamp	cabinet	blinds	curtain	chair	storage cabinet	office chair	bookshelf	whiteboard	window	box	monitor	shelf	heater	kitchen cabinet	sofa	bed	trash can	book	plant	blanket	tv	computer tower	refrigerator	jacket	sink	bag	picture	pillow	towel	suitcase	backpack	crate	keyboard	rack	toilet	printer	poster	painting	microwave	shoes	socket	bottle	bucket	cushion	basket	shoe rack	telephone	file folder	laptop	plant pot	exhaust fan	cup	coat hanger	light switch	speaker	table lamp	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
AP	0.32483	0.37362	0.40096	0.74850	0.30777	0.52160	0.57037	0.62575	0.34496	0.93176	0.21616	0.80707	0.19007	0.14107	0.78120	0.08756	0.64701	0.14039	0.61709	0.38491	0.72992	0.07035	0.60443	0.33376	0.94235	0.49742	0.46184	0.30222	0.61697	0.20566	0.20406	0.40373	0.19560	0.44427	0.57044	0.08061	0.67773	0.00926	0.86789	0.28862	0.01257	0.00505	0.48483	0.19895	0.23397	0.18141	0.18714	0.12089	0.00000	0.01852	0.39373	0.00000	0.45652	0.25193	0.50464	0.38568	0.38303	0.33178	0.22284	0.51000	0.25992	0.69197	0.00000	0.21932	0.20655	0.00000	0.58502	0.00000	0.06200	0.18064	0.00000	0.62654	0.00000	0.56423	0.00038	0.47160	0.00000	0.00000	0.05582	0.41422	0.57673	0.02116	0.08648	0.03490	0.00000
AP50	0.48039	0.70092	0.83264	0.88730	0.51628	0.76230	0.80859	0.78270	0.54348	0.97107	0.56747	0.90190	0.58032	0.29066	0.87841	0.20256	0.85716	0.38826	0.95397	0.69422	0.86558	0.12293	0.77778	0.41734	0.98827	0.63356	0.83333	0.44715	1.00000	0.38997	0.27527	0.51198	0.38008	0.59559	0.68612	0.11756	0.84481	0.01667	0.90909	0.35000	0.01397	0.00568	0.85826	0.39778	0.51586	0.26699	0.26975	0.12089	0.00000	0.16667	0.78529	0.00000	0.68810	0.38567	0.67664	0.52191	0.60000	0.61694	0.25463	1.00000	0.58929	0.87987	0.00000	0.46014	0.23077	0.00000	0.86183	0.00000	0.12930	0.20494	0.00000	0.83333	0.00000	0.94056	0.00072	0.66667	0.00000	0.00000	0.09524	0.61673	0.77667	0.02381	0.37500	0.23929	0.00000
AP25	0.54875	0.88828	0.94799	0.97092	0.56966	0.80967	0.77427	0.84008	0.68580	0.99362	0.73686	0.98973	0.84090	0.44486	0.87841	0.20603	0.90344	0.71974	0.95879	1.00000	0.88634	0.19514	0.77778	0.41734	1.00000	0.67726	1.00000	0.71398	1.00000	0.43387	0.42375	0.54635	0.40227	0.60109	0.68612	0.28423	0.91769	0.02000	0.90909	0.36429	0.12030	0.00649	0.85826	0.55408	0.72086	0.45016	0.28650	0.13858	0.00325	0.26389	0.80267	0.00000	0.71429	0.51142	0.72698	0.64764	0.60000	0.80290	0.25463	1.00000	0.69352	0.88253	0.00000	0.51656	0.58884	0.00000	0.95922	0.00000	0.22288	0.20494	0.16667	0.83333	0.03571	0.94056	0.00084	0.75154	0.00238	0.01562	0.11905	0.83333	0.77667	0.02381	0.38274	0.24524	0.02083