Research map / Vision-language and multimodal / Cross-modal learning
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MDL-CW cross-weight multimodal learning instead of Min VI (MP) | MNIST digit recognition · MNIST test, Left input | error: 6.58% -> 4.23% | Helped |
| Use MDL-CW cross-weight multimodal learning instead of Min VI (MP) | MNIST digit recognition · MNIST test, Right input | error: 7.27% -> 5.99% | Helped |
| Use MDL-CW cross-weight multimodal learning instead of the best listed baseline | MNIST digit recognition · MNIST test, Left+Right input | error: 1.57% -> 1.39% | Helped |
| Use MDL-CW instead of Deep Fragment | Pascal1K image annotation · Pascal1K image annotation | Recall@1: 39.0 -> 34.0 | Hurt |
| Use MDL-CW instead of Deep Fragment | Pascal1K image annotation · Pascal1K image annotation | Recall@5: 68.0 -> 70.0 | Helped |
| Use MDL-CW instead of Deep Fragment | Pascal1K image annotation · Pascal1K image annotation | Recall@10: 79.0 -> 89.0 | Helped |
| Use MDL-CW instead of Deep Fragment | Pascal1K image annotation · Pascal1K image annotation | Mean rank: 10.5 -> 9.2 | Helped |
| Use MDL-CW instead of SDT-RNN | Pascal1K image search · Pascal1K image search | Recall@1: 25.4 -> 35.2 | Helped |
| Use MDL-CW instead of SDT-RNN | Pascal1K image search · Pascal1K image search | Recall@5: 65.2 -> 72.6 | Helped |
| Use MDL-CW instead of SDT-RNN | Pascal1K image search · Pascal1K image search | Recall@10: 84.4 -> 90.6 | Helped |
| Use MDL-CW instead of SDT-RNN | Pascal1K image search · Pascal1K image search | Mean rank: 7.0 -> 6.8 | Helped |
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