task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
stringlengths 21
601
⌀ | metric_name
stringlengths 1
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⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
Multivariate Time Series Forecasting
|
Helpdesk
|
QuerySelector
|
https://arxiv.org/abs/2107.08687v2
|
Accuracy
|
0.743
|
Multivariate Time Series Forecasting
|
Helpdesk
|
LSTM
|
http://arxiv.org/abs/1612.02130v2
|
Accuracy
|
0.7123
|
Multivariate Time Series Forecasting > GLinear
|
Traffic (192)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.4056
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (336)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.4915
|
Multivariate Time Series Forecasting > GLinear
|
Weather (720)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3200
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (24)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3142
|
Multivariate Time Series Forecasting > GLinear
|
Electricity (192)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.1494
|
Multivariate Time Series Forecasting > GLinear
|
Weather (192)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.1883
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (720) Multivariate
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.5923
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (24) Multivariate
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3142
|
Multivariate Time Series Forecasting > GLinear
|
Electricity (96)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.1313
|
Multivariate Time Series Forecasting > GLinear
|
Traffic (720)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.4488
|
Multivariate Time Series Forecasting > GLinear
|
Traffic (96)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3875
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (48)
|
MSE
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3537
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (96)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3820
|
Multivariate Time Series Forecasting > GLinear
|
ETTh1 (192)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.4202
|
Multivariate Time Series Forecasting > GLinear
|
Electricity (336)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.1651
|
Multivariate Time Series Forecasting > GLinear
|
Traffic
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.3222
|
Multivariate Time Series Forecasting > GLinear
|
Traffic (336)
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.4201
|
Multivariate Time Series Forecasting > GLinear
|
Electricity
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.0883
|
Multivariate Time Series Forecasting > GLinear
|
Weather
|
GLinear
|
https://arxiv.org/abs/2501.01087v3
|
MSE
|
0.0716
|
3D Instance Segmentation
|
S3DIS
|
OneFormer3D
|
https://arxiv.org/abs/2311.14405v1
|
mRec
|
74.1
|
3D Instance Segmentation
|
S3DIS
|
OneFormer3D
|
https://arxiv.org/abs/2311.14405v1
|
mPrec
|
82.3
|
3D Instance Segmentation
|
S3DIS
|
OneFormer3D
|
https://arxiv.org/abs/2311.14405v1
|
AP@50
|
75.8
|
3D Instance Segmentation
|
S3DIS
|
OneFormer3D
|
https://arxiv.org/abs/2311.14405v1
|
mAP
|
63.0
|
3D Instance Segmentation
|
S3DIS
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
AP@50
|
75.5
|
3D Instance Segmentation
|
S3DIS
|
Mask3D
|
https://arxiv.org/abs/2210.03105v2
|
mAP
|
64.5
|
3D Instance Segmentation
|
S3DIS
|
PBNet
|
https://arxiv.org/abs/2207.11209v4
|
AP@50
|
70.6
|
3D Instance Segmentation
|
S3DIS
|
PBNet
|
https://arxiv.org/abs/2207.11209v4
|
mAP
|
59.5
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mRec
|
77.1
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mPrec
|
77.5
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mCov
|
74.9
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mWCov
|
76.8
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
AP@50
|
70.5
|
3D Instance Segmentation
|
S3DIS
|
ISBNet
|
https://arxiv.org/abs/2303.00246v2
|
mAP
|
60.8
|
3D Instance Segmentation
|
S3DIS
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
AP@50
|
70.4
|
3D Instance Segmentation
|
S3DIS
|
TD3D
|
https://arxiv.org/abs/2302.02871v4
|
mAP
|
58.1
|
3D Instance Segmentation
|
S3DIS
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mRec
|
70.1
|
3D Instance Segmentation
|
S3DIS
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
mPrec
|
80.6
|
3D Instance Segmentation
|
S3DIS
|
MSTA3D
|
https://arxiv.org/abs/2411.01781v3
|
AP@50
|
70.0
|
3D Instance Segmentation
|
S3DIS
|
MaskGroup
|
https://arxiv.org/abs/2203.14662v1
|
mRec
|
69.6
|
3D Instance Segmentation
|
S3DIS
|
MaskGroup
|
https://arxiv.org/abs/2203.14662v1
|
mPrec
|
66.6
|
3D Instance Segmentation
|
S3DIS
|
MaskGroup
|
https://arxiv.org/abs/2203.14662v1
|
AP@50
|
69.9
|
3D Instance Segmentation
|
S3DIS
|
SPFormer
|
https://arxiv.org/abs/2211.15766v1
|
mRec
|
71.1
|
3D Instance Segmentation
|
S3DIS
|
SPFormer
|
https://arxiv.org/abs/2211.15766v1
|
mPrec
|
74.0
|
3D Instance Segmentation
|
S3DIS
|
SPFormer
|
https://arxiv.org/abs/2211.15766v1
|
AP@50
|
69.2
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mRec
|
69.8
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mPrec
|
75.3
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mCov
|
69.3
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mWCov
|
71.7
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
AP@50
|
68.9
|
3D Instance Segmentation
|
S3DIS
|
SoftGroup
|
https://arxiv.org/abs/2203.01509v1
|
mAP
|
54.4
|
3D Instance Segmentation
|
S3DIS
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
mRec
|
73.4
|
3D Instance Segmentation
|
S3DIS
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
mPrec
|
73.5
|
3D Instance Segmentation
|
S3DIS
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
AP@50
|
67.8
|
3D Instance Segmentation
|
S3DIS
|
SSTNet
|
https://arxiv.org/abs/2108.07478v1
|
mAP
|
54.1
|
3D Instance Segmentation
|
S3DIS
|
PointGroup
|
https://arxiv.org/abs/2004.01658v1
|
mRec
|
69.2
|
3D Instance Segmentation
|
S3DIS
|
PointGroup
|
https://arxiv.org/abs/2004.01658v1
|
mPrec
|
69.6
|
3D Instance Segmentation
|
S3DIS
|
PointGroup
|
https://arxiv.org/abs/2004.01658v1
|
AP@50
|
64.0
|
3D Instance Segmentation
|
S3DIS
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mRec
|
71.1
|
3D Instance Segmentation
|
S3DIS
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mPrec
|
75.3
|
3D Instance Segmentation
|
S3DIS
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mCov
|
70.3
|
3D Instance Segmentation
|
S3DIS
|
DKNet
|
https://arxiv.org/abs/2207.07372v2
|
mWCov
|
72.8
|
3D Instance Segmentation
|
S3DIS
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mRec
|
69.4
|
3D Instance Segmentation
|
S3DIS
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mPrec
|
73.2
|
3D Instance Segmentation
|
S3DIS
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mCov
|
67.0
|
3D Instance Segmentation
|
S3DIS
|
HAIS
|
https://arxiv.org/abs/2108.02350v1
|
mWCov
|
70.4
|
3D Instance Segmentation
|
S3DIS
|
GICN
|
https://arxiv.org/abs/2007.09860v1
|
mRec
|
50.8
|
3D Instance Segmentation
|
S3DIS
|
GICN
|
https://arxiv.org/abs/2007.09860v1
|
mPrec
|
68.5
|
3D Instance Segmentation
|
S3DIS
|
JSNet
|
https://arxiv.org/abs/1912.09654v1
|
mRec
|
53.9
|
3D Instance Segmentation
|
S3DIS
|
JSNet
|
https://arxiv.org/abs/1912.09654v1
|
mPrec
|
66.9
|
3D Instance Segmentation
|
S3DIS
|
JSNet
|
https://arxiv.org/abs/1912.09654v1
|
mCov
|
54.1
|
3D Instance Segmentation
|
S3DIS
|
JSNet
|
https://arxiv.org/abs/1912.09654v1
|
mWCov
|
58
|
3D Instance Segmentation
|
S3DIS
|
3D-MPA
|
https://arxiv.org/abs/2003.13867v1
|
mRec
|
64.1
|
3D Instance Segmentation
|
S3DIS
|
3D-MPA
|
https://arxiv.org/abs/2003.13867v1
|
mPrec
|
66.7
|
3D Instance Segmentation
|
S3DIS
|
3D-BoNet
|
https://arxiv.org/abs/1906.01140v2
|
mRec
|
47.6
|
3D Instance Segmentation
|
S3DIS
|
3D-BoNet
|
https://arxiv.org/abs/1906.01140v2
|
mPrec
|
65.6
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mIoU
|
61.1
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mRec
|
50.8
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mAcc
|
72.8
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mPrec
|
64.2
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mCov
|
54.5
|
3D Instance Segmentation
|
S3DIS
|
SASO
|
https://arxiv.org/abs/2006.15015v1
|
mWCov
|
58.3
|
3D Instance Segmentation
|
S3DIS
|
ASIS
|
http://arxiv.org/abs/1902.09852v2
|
mRec
|
47.5
|
3D Instance Segmentation
|
S3DIS
|
ASIS
|
http://arxiv.org/abs/1902.09852v2
|
mPrec
|
63.6
|
3D Instance Segmentation
|
S3DIS
|
PartNet
|
https://arxiv.org/abs/1903.00709v5
|
mRec
|
43.4%
|
3D Instance Segmentation
|
S3DIS
|
PointCNN
|
http://arxiv.org/abs/1801.07791v5
|
mIoU
|
65.39%
|
3D Instance Segmentation
|
S3DIS
|
PointCNN
|
http://arxiv.org/abs/1801.07791v5
|
mAcc
|
75.61
|
3D Instance Segmentation
|
ScanNet(v2)
|
Relation3D
|
http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html
|
mAP
|
62.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
Relation3D
|
http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html
|
mAP @ 50
|
81.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
Relation3D
|
http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html
|
mAP@25
|
90.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
Spherical Mask
|
https://arxiv.org/abs/2312.11269v2
|
mAP
|
61.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
Spherical Mask
|
https://arxiv.org/abs/2312.11269v2
|
mAP @ 50
|
81.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
Spherical Mask
|
https://arxiv.org/abs/2312.11269v2
|
mAP@25
|
87.5
|
3D Instance Segmentation
|
ScanNet(v2)
|
BFL
|
https://arxiv.org/abs/2502.04139v1
|
mAP
|
60.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
BFL
|
https://arxiv.org/abs/2502.04139v1
|
mAP @ 50
|
81.0
|
3D Instance Segmentation
|
ScanNet(v2)
|
BFL
|
https://arxiv.org/abs/2502.04139v1
|
mAP@25
|
88.2
|
3D Instance Segmentation
|
ScanNet(v2)
|
OneFromer3D
|
https://arxiv.org/abs/2311.14405v1
|
mAP
|
56.6
|
3D Instance Segmentation
|
ScanNet(v2)
|
OneFromer3D
|
https://arxiv.org/abs/2311.14405v1
|
mAP @ 50
|
80.1
|
3D Instance Segmentation
|
ScanNet(v2)
|
OneFromer3D
|
https://arxiv.org/abs/2311.14405v1
|
mAP@25
|
89.6
|
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