Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FCAF3D

FCAF3D

Reported on 60 benchmarks across 6 tasks · 1 paper · 60 SOTA

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

Methodology40 results

3Don3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3Don3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3DonScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Classificationon3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Classificationon3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D ClassificationonScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object Detectionon3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object Detectionon3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
2D Object DetectiononScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16kon3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16kon3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
16konScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322

Computer Vision20 results

Object Detectionon3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object Detectionon3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
Object DetectiononScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object Detectionon3RScan
mAP@0.25· 2021-12-01
60.1
best: 64.7 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object Detectionon3RScan
mAP@0.5· 2021-12-01
42.6
best: 48.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononScanNet++
mAP@0.25· 2021-12-01
22.3
best: 26.4 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononScanNet++
mAP@0.5· 2021-12-01
11.4
best: 17.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononS3DIS
mAP@0.25· 2021-12-01
66.7
best: 75.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononS3DIS
mAP@0.5· 2021-12-01
45.9
best: 60.8 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononMultiScan
mAP@0.25· 2021-12-01
53.8
best: 64.2 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononMultiScan
mAP@0.5· 2021-12-01
40.7
best: 51.6 (UniDet3D)
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononScanNetV2
mAP@0.25· 2021-12-01
71.5
best: 78.8 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322
3D Object DetectiononScanNetV2
mAP@0.5· 2021-12-01
57.3
best: 67.9 (DEST (based on V-DETR) (TTA))
SOTA
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection arXiv:2112.00322