DenseNet

Reported on 35 benchmarks across 11 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 Vision17 results

Pedestrian Attribute RecognitiononUAV-Human
Backpack· 2016-08-25
63.9
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
Gender· 2016-08-25
75
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
Hat· 2016-08-25
67.2
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
LCC· 2016-08-25
54.6
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
UCC· 2016-08-25
49.8
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
UCS· 2016-08-25
73
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Pedestrian Attribute RecognitiononUAV-Human
LCS· 2016-08-25
68.9
best: 69.3 (ResNet)
Densely Connected Convolutional Networks arXiv:1608.06993
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2016-08-25
82.62
best: 96.08 (EffNet-L2 (SAM))
Densely Connected Convolutional Networks arXiv:1608.06993
Image ClassificationonSVHN
Percentage error· 2016-08-25
1.59
best: 1 (E2E-M3)
Densely Connected Convolutional Networks arXiv:1608.06993
HandonRWTH-PHOENIX Handshapes dev set
Accuracy
96.05
Gesture RecognitiononRWTH-PHOENIX Handshapes dev set
Accuracy
96.05
Face ReconstructiononMEBeauty
MAE
0.674
best: 0.616 (CNN + Earth Mover Distance)
Face ReconstructiononMEBeauty
Pearson Corr
0.748
best: 0.795 (CNN + Earth Mover Distance)
Face ReconstructiononMEBeauty
Root mean square error (RMSE)
0.877
best: 0.794 (CNN + Earth Mover Distance)
3D Face ReconstructiononMEBeauty
MAE
0.674
best: 0.616 (CNN + Earth Mover Distance)
3D Face ReconstructiononMEBeauty
Pearson Corr
0.748
best: 0.795 (CNN + Earth Mover Distance)
3D Face ReconstructiononMEBeauty
Root mean square error (RMSE)
0.877
best: 0.794 (CNN + Earth Mover Distance)

Robots7 results

Autonomous VehiclesonUAV-Human
Backpack· 2016-08-25
63.9
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
Gender· 2016-08-25
75
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
Hat· 2016-08-25
67.2
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
LCC· 2016-08-25
54.6
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
UCC· 2016-08-25
49.8
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
UCS· 2016-08-25
73
SOTA
Densely Connected Convolutional Networks arXiv:1608.06993
Autonomous VehiclesonUAV-Human
LCS· 2016-08-25
68.9
best: 69.3 (ResNet)
Densely Connected Convolutional Networks arXiv:1608.06993

Methodology5 results

Multi-Label ClassificationonCheXpert
AVERAGE AUC ON 14 LABEL
0.876
best: 0.933 (CFT (ensemble) Macao Polytechnic University)
Multi-Label ClassificationonCheXpert
NUM RADS BELOW CURVE
1.2
best: 3 (inisis)
3DonMEBeauty
MAE
0.674
best: 0.616 (CNN + Earth Mover Distance)
3DonMEBeauty
Pearson Corr
0.748
best: 0.795 (CNN + Earth Mover Distance)
3DonMEBeauty
Root mean square error (RMSE)
0.877
best: 0.794 (CNN + Earth Mover Distance)

Music3 results

Facial Recognition and ModellingonMEBeauty
MAE
0.674
best: 0.616 (CNN + Earth Mover Distance)
Facial Recognition and ModellingonMEBeauty
Pearson Corr
0.748
best: 0.795 (CNN + Earth Mover Distance)
Facial Recognition and ModellingonMEBeauty
Root mean square error (RMSE)
0.877
best: 0.794 (CNN + Earth Mover Distance)

Medical3 results

3D Face ModellingonMEBeauty
MAE
0.674
best: 0.616 (CNN + Earth Mover Distance)
3D Face ModellingonMEBeauty
Pearson Corr
0.748
best: 0.795 (CNN + Earth Mover Distance)
3D Face ModellingonMEBeauty
Root mean square error (RMSE)
0.877
best: 0.794 (CNN + Earth Mover Distance)