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Models/DSR

DSR

Reported on 23 benchmarks across 8 tasks · 3 papers · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology11 results

Anomaly DetectiononMVTec AD
Segmentation AP· uses extra data· 2022-08-02
70.2
best: 87.6 (WeakREST-Block)
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2022-08-02
82.6
best: 95.3 (CSAD)
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only structural)· 2022-08-02
90.2
best: 95.9 (PUAD-M)
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononKolektorSDD2
Detection AP· 2022-08-02
87.2
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononKolektorSDD2
Segmentation AP· 2022-08-02
61.4
best: 76.9 (WeakREST-Un)
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononMVTec AD
Detection AUROC· uses extra data· 2022-08-02
98.2
best: 99.9 (GLASS)
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononVisA
Segmentation AUPRO (until 30% FPR)· 2022-08-02
68.1
best: 96.1 (AnomalyDINO-S (full-shot))
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2022-08-02
75
best: 98.1 (PSAD)
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Anomaly DetectiononMVTec LOCO AD
Segmentation AU-sPRO (until FPR 5%)· 2022-08-02
58.5
best: 83.2 (SAM-LAD)
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
3DonMPI-INF-3DHP
MPJPE· 2021-10-07
104.7
best: 124.7 (VNect (Augm.))
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480
3DonMPI-INF-3DHP
PA-MPJPE· 2021-10-07
66.7
best: 89.8 (HMR)
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480

Computer Vision4 results

3D Human Pose EstimationonMPI-INF-3DHP
MPJPE· 2021-10-07
104.7
best: 124.7 (VNect (Augm.))
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480
3D Human Pose EstimationonMPI-INF-3DHP
PA-MPJPE· 2021-10-07
66.7
best: 89.8 (HMR)
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480
Pose EstimationonMPI-INF-3DHP
MPJPE· 2021-10-07
104.7
best: 124.7 (VNect (Augm.))
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480
Pose EstimationonMPI-INF-3DHP
PA-MPJPE· 2021-10-07
66.7
best: 89.8 (HMR)
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480

Graphs2 results

Unsupervised Anomaly DetectiononKolektorSDD2
Detection AP· 2022-08-02
87.2
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521
Unsupervised Anomaly DetectiononKolektorSDD2
Segmentation AP· 2022-08-02
61.4
best: 76.9 (WeakREST-Un)
SOTA
DSR -- A dual subspace re-projection network for surface anomaly detection arXiv:2208.01521

Speech2 results

DialogueonKVRET
Entity F1· 2018-06-12
51.9
best: 70.07 (T5-3b(UnifiedSKG))
SOTA
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation arXiv:1806.04441
DialogueonKVRET
BLEU· 2018-06-12
12.7
best: 17.35 (TTOS)
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation arXiv:1806.04441

Natural Language Processing2 results

Task-Oriented Dialogue SystemsonKVRET
Entity F1· 2018-06-12
51.9
best: 70.07 (T5-3b(UnifiedSKG))
SOTA
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation arXiv:1806.04441
Task-Oriented Dialogue SystemsonKVRET
BLEU· 2018-06-12
12.7
best: 17.35 (TTOS)
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation arXiv:1806.04441

Audio2 results

1 Image, 2*2 StitchionMPI-INF-3DHP
MPJPE· 2021-10-07
104.7
best: 124.7 (VNect (Augm.))
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480
1 Image, 2*2 StitchionMPI-INF-3DHP
PA-MPJPE· 2021-10-07
66.7
best: 89.8 (HMR)
Learning to Regress Bodies from Images using Differentiable Semantic Rendering arXiv:2110.03480