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/BC-GNN

BC-GNN

Reported on 16 benchmarks across 4 tasks · 1 paper · 12 SOTA

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

Computer Vision12 results

VideoonActivityNet-1.3
mAP· 2020-08-04
34.26
best: 42.9 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
VideoonActivityNet-1.3
mAP IOU@0.5· 2020-08-04
50.56
best: 64.1 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
VideoonActivityNet-1.3
mAP IOU@0.95· 2020-08-04
9.37
best: 10.85 (AdaTAD (VideoMAEv2-giant))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Temporal Action LocalizationonActivityNet-1.3
mAP· 2020-08-04
34.26
best: 42.9 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Temporal Action LocalizationonActivityNet-1.3
mAP IOU@0.5· 2020-08-04
50.56
best: 64.1 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Temporal Action LocalizationonActivityNet-1.3
mAP IOU@0.95· 2020-08-04
9.37
best: 10.85 (AdaTAD (VideoMAEv2-giant))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Action LocalizationonActivityNet-1.3
mAP· 2020-08-04
34.26
best: 42.9 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Action LocalizationonActivityNet-1.3
mAP IOU@0.5· 2020-08-04
50.56
best: 64.1 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Action LocalizationonActivityNet-1.3
mAP IOU@0.95· 2020-08-04
9.37
best: 10.85 (AdaTAD (VideoMAEv2-giant))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
VideoonActivityNet-1.3
mAP IOU@0.75· 2020-08-04
34.75
best: 44 (RDFA-S6 (InternVideo2-6B))
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Temporal Action LocalizationonActivityNet-1.3
mAP IOU@0.75· 2020-08-04
34.75
best: 44 (RDFA-S6 (InternVideo2-6B))
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Action LocalizationonActivityNet-1.3
mAP IOU@0.75· 2020-08-04
34.75
best: 44 (RDFA-S6 (InternVideo2-6B))
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432

Methodology4 results

Zero-Shot LearningonActivityNet-1.3
mAP· 2020-08-04
34.26
best: 42.9 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Zero-Shot LearningonActivityNet-1.3
mAP IOU@0.5· 2020-08-04
50.56
best: 64.1 (RDFA-S6 (InternVideo2-6B))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Zero-Shot LearningonActivityNet-1.3
mAP IOU@0.95· 2020-08-04
9.37
best: 10.85 (AdaTAD (VideoMAEv2-giant))
SOTA
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432
Zero-Shot LearningonActivityNet-1.3
mAP IOU@0.75· 2020-08-04
34.75
best: 44 (RDFA-S6 (InternVideo2-6B))
Boundary Content Graph Neural Network for Temporal Action Proposal Generation arXiv:2008.01432