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/CR-CNN

CR-CNN

Reported on 96 benchmarks across 11 tasks · 2 papers · 96 SOTA

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

Computer Vision45 results

Image Manipulation DetectiononCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation DetectiononCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
VideoonCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Temporal Action LocalizationonCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action LocalizationonCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation LocalizationonColumbia
Average Pixel F1(Fixed threshold)· 2019-11-19
0.631
best: 0.888 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation LocalizationonCOVERAGE
Average Pixel F1(Fixed threshold)· 2019-11-19
0.391
best: 0.663 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation LocalizationonCasia V1+
Average Pixel F1(Fixed threshold)· 2019-11-19
0.481
best: 0.791 (CMX (RGB+SRM))
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation LocalizationonCocoGlide
Average Pixel F1(Fixed threshold)· 2019-11-19
0.447
best: 0.585 (CMX (RGB+SRM))
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Image Manipulation LocalizationonDSO-1
Average Pixel F1(Fixed threshold)· 2019-11-19
0.289
best: 0.93 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217

Methodology20 results

Anomaly DetectiononCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Anomaly DetectiononCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Zero-Shot LearningonCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217

Natural Language Processing11 results

3D Action RecognitiononCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
3D Action RecognitiononCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Relation ExtractiononSemEval-2010 Task-8
F1· 2015-04-24
84.1
best: 91.9 (SP)
SOTA
Classifying Relations by Ranking with Convolutional Neural Networks arXiv:1504.06580

Robots10 results

Activity RecognitiononCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Activity RecognitiononCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217

Time Series10 results

Action RecognitiononCOVERAGE
AUC· 2019-11-19
0.553
best: 0.839 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononCOVERAGE
Balanced Accuracy· 2019-11-19
0.391
best: 0.77 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononColumbia
AUC· 2019-11-19
0.755
best: 0.996 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononColumbia
Balanced Accuracy· 2019-11-19
0.631
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononCocoGlide
AUC· 2019-11-19
0.589
best: 0.778 (ManTraNet)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononCocoGlide
Balanced Accuracy· 2019-11-19
0.447
best: 0.677 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononDSO-1
AUC· 2019-11-19
0.576
best: 0.984 (TruFor)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononDSO-1
Balanced Accuracy· 2019-11-19
0.289
best: 0.935 (Early Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononCasia V1+
AUC· 2019-11-19
0.67
best: 0.942 (CAT-Net v2)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217
Action RecognitiononCasia V1+
Balanced Accuracy· 2019-11-19
0.481
best: 0.86 (Late Fusion)
SOTA
Constrained R-CNN: A general image manipulation detection model arXiv:1911.08217