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Models/DPC

DPC

Reported on 8 benchmarks across 6 tasks · 3 papers · 4 SOTA

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

Computer Vision3 results

3D Shape RepresentationonSHREC'19
Euclidean Mean Error (EME)· 2021-10-16
5.6
best: 1.7 (Diffusion 3D Features (Zero-shot))
SOTA
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction arXiv:2110.08636
Human Part SegmentationonPASCAL-Person-Part
mIoU· 2018-09-11
71.34
SOTA
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction arXiv:1809.04184
3D Shape RepresentationonSHREC'19
Accuracy at 1%· 2021-10-16
15.3
best: 26.4 (Diffusion 3D Features (Zero-shot))
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction arXiv:2110.08636

Methodology2 results

3DonSHREC'19
Euclidean Mean Error (EME)· 2021-10-16
5.6
best: 1.7 (Diffusion 3D Features (Zero-shot))
SOTA
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction arXiv:2110.08636
3DonSHREC'19
Accuracy at 1%· 2021-10-16
15.3
best: 26.4 (Diffusion 3D Features (Zero-shot))
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction arXiv:2110.08636

Audio2 results

2D Semantic SegmentationonPASCAL-Person-Part
mIoU· 2018-09-11
71.34
SOTA
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction arXiv:1809.04184
10-shot image generationonS3DIS Area5
mIoU· 2019-07-28
61.28
best: 76 (Sonata + PTv3)
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds arXiv:1907.12046

Medical1 result

Semantic SegmentationonS3DIS Area5
mIoU· 2019-07-28
61.28
best: 76 (Sonata + PTv3)
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds arXiv:1907.12046