Relative Attributes
0. Overview
1. Features
- Datasets
- Zappos50k-1
- Zappos50k-2
- LFW10
- Pubfig
- Place Pulse
- OSR
- Prefetch Dataset(but not working...)
- Opencv data argument
- Nvidia DALI
- Dowloading Scripts
- Models
- DRN
- DRA
- Training
- Logging with
print - Summary with TensorBoard
- Early Stopping
- LR decay
- Logging with
logging - Continue Training
- Logging with
- Scripts
- Training
- generate scoring result files.
- Examples
- Datasets notebooks
- Predicting & Visualization notebooks
- Cal scores, showing scores hist.
- Showing images & heatmaps for different graded images.
- Docs
- Quick Start.
- Datasets introduction.
- Models introduction.
- Others
- GradCam for all models.
- More CNN Visualization methods.
2. Quick Start
3. Results
3.1. Zappos V1
| Model | Open | Pointy | Sporty | Comfort | Mean | comments |
|---|---|---|---|---|---|---|
| DRN-VGG16(paper) | 95.37 | 94.43 | 97.30 | 95.57 | 95.67 | / |
| DRN-VGG16(ours) | 96.33 | 94.33 | 96.33 | 94.00 | / | ranknet + lr(1e-4, 1e-5) + wd1e-5 |
| DRN-VGG16(ours) | 96.33 | 94.33 | 96.33 | 95.00 | / | dra + lr(1e-4, 1e-5) + wd1e-5 |
| DRN-googlenet(ours) | 92.00 | 94.33 | 94.33 | 95.33 | / | ranknet + lr(1e-4, 1e-5) + wd1e-5 |
3.2. Zappos V2
| Model | Open | Pointy | Sporty | Comfort | Mean | comments |
|---|---|---|---|---|---|---|
| DRN-VGG16(paper) | 73.45 | 68.20 | 73.07 | 70.31 | 71.26 | VGG16 |
| DRN-VGG16(ours) | 72.73 | 67.83 | 74.24 | 67.93 | / | drn + ranknet + lr(1e-4, 1e-5) + wd1e-5 |
| DRN-VGG16(ours) | 74.55 | 66.81 | 72.11 | 69.46 | / | drn + ranknet + lr(1e-4, 1e-5) + wd5e-5 |