Few-shot Classification on miniImageNet Open-Ended 5-Way (test)
45.9AccuracyLQAE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LQAETask Induction=✓, Inner Shots=1, Repeats=52023.02 | 45.9 | — | |
| LQAETask Induction=✓, Inner Shots=5, Repeats=02023.02 | 36.5 | — | |
| LQAETask Induction=✓, Inner Shots=1, Repeats=32023.02 | 36.4 | — | |
| LQAETask Induction=✓, Inner Shots=3, Repeats=02023.02 | 35.9 | — | |
| FrozenTask Induction=✓, Inner Shots=3, Repeats=02023.02 | 34.7 | — | |
| FrozenTask Induction=✓, Inner Shots=5, Repeats=02023.02 | 33.8 | — | |
| FrozenTask Induction=✓, Inner Shots=1, Repeats=12023.02 | 33.8 | — | |
| FrozenTask Induction=✓, Inner Shots=1, Repeats=32023.02 | 33.3 | — | |
| FrozenTask Induction=✓, Inner Shots=1, Repeats=52023.02 | 32.8 | — | |
| LQAETask Induction=✓, Inner Shots=1, Repeats=12023.02 | 31.9 | — | |
| LQAETask Induction=✓, Inner Shots=1, Repeats=02023.02 | 15.7 | — | |
| FrozenTask Induction=✓, Inner Shots=1, Repeats=02023.02 | 14.5 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=1, Repeats=52023.02 | 3.6 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=1, Repeats=32023.02 | 3.5 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=5, Repeats=02023.02 | 3.2 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=1, Repeats=12023.02 | 3.1 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=3, Repeats=02023.02 | 2.5 | — | |
| untrained LQAETask Induction=✓, Inner Shots=5, Repeats=02023.02 | 2.3 | — | |
| untrained LQAETask Induction=✓, Inner Shots=1, Repeats=52023.02 | 2.3 | — | |
| untrained LQAETask Induction=✓, Inner Shots=1, Repeats=12023.02 | 2.1 | — | |
| MAE + LinearTask Induction=✓, Inner Shots=1, Repeats=02023.02 | 2 | — | |
| untrained LQAETask Induction=✓, Inner Shots=1, Repeats=32023.02 | 1.9 | — | |
| untrained LQAETask Induction=✓, Inner Shots=3, Repeats=02023.02 | 1.6 | — | |
| untrained LQAETask Induction=✓, Inner Shots=1, Repeats=02023.02 | 1.2 | — | |
| LQAETask Induction=✗, Inner Shots=1, Repeats=02023.02 | 1 | — | |
| FrozenTask Induction=✗, Inner Shots=1, Repeats=02023.02 | 0.9 | — | |
| MAE + LinearTask Induction=✗, Inner Shots=1, Repeats=02023.02 | 0.3 | — | |
| ASCII (64x64 img)Task Induction=✗, Inner Shots=1, Repeats=02023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=1, Repeats=02023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=3, Repeats=02023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=5, Repeats=02023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=1, Repeats=12023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=1, Repeats=32023.02 | 0 | — | |
| ASCII (64x64 img)Task Induction=✓, Inner Shots=1, Repeats=52023.02 | 0 | — | |
| untrained LQAETask Induction=✗, Inner Shots=1, Repeats=02023.02 | 0 | — | |
| ASCII (64x64 img)Mode=Aggregate2023.02 | — | 0 | |
| FrozenMode=Aggregate2023.02 | — | 26.26 | |
| LQAEMode=Aggregate2023.02 | — | 29.04 | |
| MAE + LinearMode=Aggregate2023.02 | — | 2.6 | |
| untrained LQAEMode=Aggregate2023.02 | — | 1.63 |