task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
stringlengths 21
601
⌀ | metric_name
stringlengths 1
50
⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
3D Instance Segmentation
|
ScanNet(v2)
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mRec
|
74.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP
|
56.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP @ 50
|
79.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP@25
|
87.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
QueryFormer
|
http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html
|
mAP
|
58.3
|
3D Instance Segmentation
|
ScanNet(v2)
|
QueryFormer
|
http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html
|
mAP @ 50
|
78.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
QueryFormer
|
http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html
|
mAP@25
|
87.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
mAP
|
55.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
mAP @ 50
|
78.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
mAP@25
|
87.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
SPFormer
|
https://arxiv.org/abs/2211.15766v1
|
mAP
|
54.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
SPFormer
|
https://arxiv.org/abs/2211.15766v1
|
mAP @ 50
|
77.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mAP
|
55.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mAP @ 50
|
76.3
|
3D Instance Segmentation
|
ScanNet(v2)
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mAP@25
|
84.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mAP
|
50.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mAP @ 50
|
76.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mAP@25
|
86.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
mAP
|
48.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
mAP @ 50
|
75.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
mAP@25
|
87.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
PBNet
|
https://arxiv.org/abs/2207.11209v4
|
mAP
|
57.3
|
3D Instance Segmentation
|
ScanNet(v2)
|
PBNet
|
https://arxiv.org/abs/2207.11209v4
|
mAP @ 50
|
74.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
PBNet
|
https://arxiv.org/abs/2207.11209v4
|
mAP@25
|
82.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mAP
|
53.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mAP @ 50
|
71.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP
|
50.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP @ 50
|
71.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP@25
|
83.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mAP
|
45.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mAP @ 50
|
69.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
mAP
|
50.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
mAP @ 50
|
69.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
MaskGroup
|
https://arxiv.org/abs/2203.14662v1
|
mAP
|
43.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
MaskGroup
|
https://arxiv.org/abs/2203.14662v1
|
mAP @ 50
|
66.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
RPGN
|
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf
|
mAP
|
42.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
RPGN
|
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf
|
mAP @ 50
|
64.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
RPGN
|
https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf
|
mAP@25
|
80.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
GICN
|
https://arxiv.org/abs/2007.09860v1
|
mAP @ 50
|
63.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
PointGroup
|
https://arxiv.org/abs/2004.01658v1
|
mAP
|
40.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
PointGroup
|
https://arxiv.org/abs/2004.01658v1
|
mAP @ 50
|
63.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
HIDA
|
https://arxiv.org/abs/2107.03180v1
|
mAP
|
43.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
HIDA
|
https://arxiv.org/abs/2107.03180v1
|
mAP @ 50
|
63.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-MPA
|
https://arxiv.org/abs/2003.13867v1
|
mRec
|
61.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-MPA
|
https://arxiv.org/abs/2003.13867v1
|
mAP
|
35.3
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-MPA
|
https://arxiv.org/abs/2003.13867v1
|
mAP @ 50
|
59.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
4DContrast
|
https://arxiv.org/abs/2112.02990v2
|
mAP @ 50
|
57.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
RWSeg
|
https://arxiv.org/abs/2208.05110v3
|
mAP
|
34.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
RWSeg
|
https://arxiv.org/abs/2208.05110v3
|
mAP @ 50
|
56.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
RWSeg
|
https://arxiv.org/abs/2208.05110v3
|
mAP@25
|
73.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-BoNet
|
https://arxiv.org/abs/1906.01140v2
|
mRec
|
47.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-BoNet
|
https://arxiv.org/abs/1906.01140v2
|
mAP
|
25.3
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-BoNet
|
https://arxiv.org/abs/1906.01140v2
|
mAP @ 50
|
48.8
|
3D Instance Segmentation
|
ScanNet(v2)
|
ResNet-Backbone
|
http://arxiv.org/abs/1902.04478v1
|
mAP @ 50
|
45.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
MASC
|
http://arxiv.org/abs/1902.04478v1
|
mAP
|
25.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
MASC
|
http://arxiv.org/abs/1902.04478v1
|
mAP @ 50
|
44.7
|
3D Instance Segmentation
|
ScanNet(v2)
|
3D-SIS
|
http://arxiv.org/abs/1812.07003v3
|
mAP @ 50
|
38.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
UNet-Backbone
|
http://arxiv.org/abs/1606.06650v1
|
mAP @ 50
|
31.9
|
3D Instance Segmentation
|
ScanNet(v2)
|
MPNet
|
https://arxiv.org/abs/2001.01349v1
|
mAP @ 50
|
31
|
3D Instance Segmentation
|
ScanNet(v2)
|
Searilized Point Mamba
|
https://arxiv.org/abs/2407.12319v1
|
mAP
|
40.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
Searilized Point Mamba
|
https://arxiv.org/abs/2407.12319v1
|
mAP@25
|
76.4
|
3D Instance Segmentation
|
ScanNet(v2)
|
MAFT
|
https://arxiv.org/abs/2309.01692v1
|
mAP
|
59.6
|
3D Instance Segmentation
|
ScanNet++
|
Any3DIS
|
https://arxiv.org/abs/2411.16183v1
|
mAP
|
22.2
|
3D Instance Segmentation
|
ScanNet++
|
Open3DIS
|
https://arxiv.org/abs/2312.10671v3
|
mAP
|
20.7
|
3D Instance Segmentation
|
ScanNet++
|
SAI3D
|
https://arxiv.org/abs/2312.11557v2
|
mAP
|
17.1
|
3D Instance Segmentation
|
MitoEM
|
Res-UNet-R/H
|
https://arxiv.org/abs/2104.07961v4
|
AP75-R-Val
|
0.917
|
3D Instance Segmentation
|
MitoEM
|
Res-UNet-R/H
|
https://arxiv.org/abs/2104.07961v4
|
AP75-H-Val
|
0.828
|
3D Instance Segmentation
|
MitoEM
|
Res-UNet-R/H
|
https://arxiv.org/abs/2104.07961v4
|
AP75-R-Test
|
0.851
|
3D Instance Segmentation
|
MitoEM
|
Res-UNet-R/H
|
https://arxiv.org/abs/2104.07961v4
|
AP75-H-Test
|
0.829
|
3D Instance Segmentation
|
MitoEM
|
Unet3D
|
https://donglaiw.github.io/paper/2020_miccai_mitoEM.pdf
|
AP75-R-Test
|
0.816
|
3D Instance Segmentation
|
MitoEM
|
Unet3D
|
https://donglaiw.github.io/paper/2020_miccai_mitoEM.pdf
|
AP75-H-Test
|
0.804
|
3D Instance Segmentation
|
ScanNet
|
MASC
|
http://arxiv.org/abs/1902.04478v1
|
mAP
|
0.447
|
3D Instance Segmentation
|
PartNet
|
Semantic Segmentation-Assisted Instance Feature Fusion
|
https://arxiv.org/abs/2208.04766v1
|
mAP50
|
64.1
|
3D Instance Segmentation
|
PartNet
|
Probabilistic Embeddings
|
https://arxiv.org/abs/1912.00145v2
|
mAP50
|
57.5
|
3D Instance Segmentation
|
PartNet
|
Partnet
|
http://arxiv.org/abs/1812.02713v1
|
mAP50
|
54.4
|
3D Instance Segmentation
|
ScanNet200
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP
|
31.5
|
3D Instance Segmentation
|
ScanNet200
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP@50
|
45.3
|
3D Instance Segmentation
|
ScanNet200
|
ODIN
|
https://arxiv.org/abs/2401.02416v3
|
mAP@25
|
53.1
|
3D Instance Segmentation
|
ScanNet200
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
mAP
|
27.8
|
3D Instance Segmentation
|
ScanNet200
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP
|
26.2
|
3D Instance Segmentation
|
ScanNet200
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP@50
|
35.2
|
3D Instance Segmentation
|
ScanNet200
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mAP@25
|
40.1
|
3D Instance Segmentation
|
ScanNet200
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mAP
|
24.5
|
3D Instance Segmentation
|
ScanNet200
|
Open3DIS (Open-Vocabulary)
|
https://arxiv.org/abs/2312.10671v3
|
mAP
|
23.7
|
3D Instance Segmentation
|
STPLS3D
|
EASE
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html
|
AP50
|
80.8
|
3D Instance Segmentation
|
STPLS3D
|
EASE
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html
|
AP25
|
86.9
|
3D Instance Segmentation
|
STPLS3D
|
EASE
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html
|
AP
|
64.5
|
3D Instance Segmentation
|
STPLS3D
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
AP50
|
74.3
|
3D Instance Segmentation
|
STPLS3D
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
AP25
|
81.6
|
3D Instance Segmentation
|
STPLS3D
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
AP
|
57.3
|
3D Instance Segmentation
|
STPLS3D
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
AP50
|
69.8
|
3D Instance Segmentation
|
STPLS3D
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
AP
|
54.3
|
3D Instance Segmentation
|
STPLS3D
|
Spherical Mask
|
https://arxiv.org/abs/2312.11269v2
|
AP50
|
68.3
|
3D Instance Segmentation
|
STPLS3D
|
Spherical Mask
|
https://arxiv.org/abs/2312.11269v2
|
AP
|
52.2
|
3D Instance Segmentation
|
STPLS3D
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
AP50
|
64.0
|
3D Instance Segmentation
|
STPLS3D
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
AP
|
49.2
|
3D Instance Segmentation
|
STPLS3D
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
AP50
|
63.1
|
3D Instance Segmentation
|
STPLS3D
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
AP25
|
71.4
|
3D Instance Segmentation
|
STPLS3D
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
AP
|
47.3
|
3D Instance Segmentation
|
STPLS3D
|
SoftGroup++
|
https://arxiv.org/abs/2209.08263v3
|
AP50
|
62.9
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.