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kahnchana committed Mar 21, 2021
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Expand Up @@ -107,19 +107,19 @@ We present qualitative results for training with OPL (against a CE only backbone


### Classification: Few Shot
| Method | New Loss | Cifar:1shot | Cifar:5shot | Mini:1shot | Mini:5shot | Tier:1shot | Tier:5shot |
|----------------------- |:----------: |:-------------: |:-------------: |:--------------: |:--------------: |:--------------: |:--------------: |
| MAML | - | 58.90±1.9 | 71.50±1.0 | 48.70±1.84 | 63.11±0.92 | 51.67±1.81 | 70.30±1.75 |
| Prototypical Networks | - | 55.50±0.7 | 72.00±0.6 | 49.42±0.78 | 68.20±0.66 | 53.31±0.89 | 72.69±0.74 |
| Relation Networks | - | 55.00±1.0 | 69.30±0.8 | 50.44±0.82 | 65.32±0.70 | 54.48±0.93 | 71.32±0.78 |
| Shot-Free | - | 69.20±N/A | 84.70±N/A | 59.04±N/A | 77.64±N/A | 63.52±N/A | 82.59±N/A |
| MetaOptNet | - | 72.60±0.7 | 84.30±0.5 | 62.64±0.61 | 78.63±0.46 | 65.99±0.72 | 81.56±0.53 |
| RFS | - | 71.45±0.8 | 85.95±0.5 | 62.02±0.60 | 79.64±0.44 | 69.74±0.72 | 84.41±0.55 |
| RFS + OPL (Ours) | \checkmark | 73.02±0.4 | 86.12±0.2 | 63.10±0.36 | 79.87±0.26 | 70.20±0.41 | 85.01±0.27 |
| NAML | \checkmark | - | - | 65.42±0.25 | 75.48±0.34 | - | - |
| Neg-Cosine | \checkmark | - | - | 63.85±0.81 | 81.57±0.56 | - | - |
| SKD | \checkmark | 74.50±0.9 | 88.00±0.6 | 65.93±0.81 | 83.15±0.54 | 71.69±0.91 | 86.66±0.60 |
| SKD + OPL (Ours) | \checkmark | 74.94±0.4 | 88.06±0.3 | 66.90±0.37 | 83.23±0.25 | 72.10±0.41 | 86.70±0.27 |
| Method | New Loss | Cifar:1shot | Cifar:5shot | Mini:1shot | Mini:5shot | Tier:1shot | Tier:5shot |
|----------------------- |:----------: |:-------------:|:-------------:|:--------------: |:--------------: |:--------------: |:--------------: |
| MAML | ✗ | 58.90±1.9 | 71.50±1.0 | 48.70±1.84 | 63.11±0.92 | 51.67±1.81 | 70.30±1.75 |
| Prototypical Networks | ✗ | 55.50±0.7 | 72.00±0.6 | 49.42±0.78 | 68.20±0.66 | 53.31±0.89 | 72.69±0.74 |
| Relation Networks | ✗ | 55.00±1.0 | 69.30±0.8 | 50.44±0.82 | 65.32±0.70 | 54.48±0.93 | 71.32±0.78 |
| Shot-Free | ✗ | 69.20±N/A | 84.70±N/A | 59.04±N/A | 77.64±N/A | 63.52±N/A | 82.59±N/A |
| MetaOptNet | ✗ | 72.60±0.7 | 84.30±0.5 | 62.64±0.61 | 78.63±0.46 | 65.99±0.72 | 81.56±0.53 |
| RFS | ✗ | 71.45±0.8 | 85.95±0.5 | 62.02±0.60 | 79.64±0.44 | 69.74±0.72 | 84.41±0.55 |
| RFS + OPL (Ours) | ✔ | 73.02±0.4 | 86.12±0.2 | 63.10±0.36 | 79.87±0.26 | 70.20±0.41 | 85.01±0.27 |
| NAML | ✔ | - | - | 65.42±0.25 | 75.48±0.34 | - | - |
| Neg-Cosine | ✔ | - | - | 63.85±0.81 | 81.57±0.56 | - | - |
| SKD | ✔ | 74.50±0.9 | 88.00±0.6 | 65.93±0.81 | 83.15±0.54 | 71.69±0.91 | 86.66±0.60 |
| SKD + OPL (Ours) | ✔ | 74.94±0.4 | 88.06±0.3 | 66.90±0.37 | 83.23±0.25 | 72.10±0.41 | 86.70±0.27 |


## Qualitative Results
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