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/Forest R-CNN

Forest R-CNN

Reported on 24 benchmarks across 6 tasks · 1 paper · 24 SOTA

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

Methodology16 results

3DonLVIS v1.0 val
AP· 2020-08-13
23.2
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
3DonLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
3DonLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
3DonLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D ClassificationonLVIS v1.0 val
AP· 2020-08-13
23.2
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D ClassificationonLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D ClassificationonLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D ClassificationonLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D Object DetectiononLVIS v1.0 val
AP· 2020-08-13
23.2
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D Object DetectiononLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D Object DetectiononLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
2D Object DetectiononLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
16konLVIS v1.0 val
AP· 2020-08-13
23.2
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
16konLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
16konLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
16konLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676

Computer Vision8 results

Object DetectiononLVIS v1.0 val
AP· 2020-08-13
23.2
best: 51.6 (CP-DETR-Pro(without LVIS data))
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Object DetectiononLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Object DetectiononLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Object DetectiononLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Few-Shot Object DetectiononLVIS v1.0 val
AP· 2020-08-13
23.2
best: 47.55 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Few-Shot Object DetectiononLVIS v1.0 val
APc· 2020-08-13
22.7
best: 47.47 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Few-Shot Object DetectiononLVIS v1.0 val
APf· 2020-08-13
27.7
best: 51.44 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676
Few-Shot Object DetectiononLVIS v1.0 val
APr· 2020-08-13
14.2
best: 38.91 (best_single_model_val)
SOTA
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation arXiv:2008.05676