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/VirTex Mask R-CNN (ResNet-50-FPN)

VirTex Mask R-CNN (ResNet-50-FPN)

Reported on 8 benchmarks across 6 tasks · 1 paper

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

Computer Vision4 results

Object DetectiononCOCO minival
box AP· 2020-06-11
40.9
best: 66 (PE_spatial (DETA))
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
Instance SegmentationonCOCO test-dev
AP50· 2020-06-11
58.4
best: 80.8 (InternImage-H)
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
Instance SegmentationonCOCO test-dev
AP75· 2020-06-11
39.7
best: 63.4 (Co-DETR)
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
Instance SegmentationonCOCO test-dev
mask AP· 2020-06-11
36.9
best: 57.1 (Co-DETR)
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666

Methodology4 results

3DonCOCO minival
box AP· 2020-06-11
40.9
best: 66 (PE_spatial (DETA))
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
2D ClassificationonCOCO minival
box AP· 2020-06-11
40.9
best: 66 (PE_spatial (DETA))
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
2D Object DetectiononCOCO minival
box AP· 2020-06-11
40.9
best: 66 (PE_spatial (DETA))
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666
16konCOCO minival
box AP· 2020-06-11
40.9
best: 66 (PE_spatial (DETA))
VirTex: Learning Visual Representations from Textual Annotations arXiv:2006.06666