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Models/Assemble-ResNet-FGVC-50

Assemble-ResNet-FGVC-50

Reported on 10 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision10 results

Image ClassificationonSOP
Recall@1· 2020-01-17
85.9
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Image ClassificationonOxford-IIIT Pets
Top-1 Error Rate· 2020-01-17
5.7
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Image ClassificationonFood-101
Top 1 Accuracy· 2020-01-17
92.47
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Fine-Grained Image ClassificationonSOP
Recall@1· 2020-01-17
85.9
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Fine-Grained Image ClassificationonOxford-IIIT Pets
Top-1 Error Rate· 2020-01-17
5.7
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Fine-Grained Image ClassificationonFood-101
Top 1 Accuracy· 2020-01-17
92.47
SOTA
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Image ClassificationonFGVC Aircraft
Accuracy· 2020-01-17
92.4
best: 95.4 (SR-GNN)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Image ClassificationonFood-101
Accuracy· 2020-01-17
92.5
best: 98.6 (CAP)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Fine-Grained Image ClassificationonFGVC Aircraft
Accuracy· 2020-01-17
92.4
best: 95.4 (SR-GNN)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268
Fine-Grained Image ClassificationonFood-101
Accuracy· 2020-01-17
92.5
best: 98.6 (CAP)
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network arXiv:2001.06268