Tao Zhuo, Mohan Kankanhalli
This code is the implementation of our ICLR 2021 paper
Average testing accuracy of different models on RAVEN and neutral regime of PGM dataset. Aux means auxiliary annotations.
| Method | Aux | Avg | RAVEN | PGM |
|---|---|---|---|---|
| ResNet-18+DRT | ✓ | - | 59.56 | - |
| WReN+Aux | ✓ | 55.44 | 33.97 | 76.90 |
| LEN+Aux | ✓ | 70.85 | 59.40 | 82.30 |
| MXGNet+Aux | ✓ | - | - | 89.60 |
| ACL | ✓ | - | 93.71 | - |
| LSTM | 24.44 | 13.07 | 35.80 | |
| CNN | 34.99 | 36.97 | 33.00 | |
| WReN | 40.10 | 17.94 | 62.60 | |
| Wild-ResNet | - | - | 48.00 | |
| ResNet-50 | 64.13 | 86.26 | 42.00 | |
| MLRN | 55.33 | 12.50 | 98.03 | |
| LEN | 70.50 | 72.90 | 68.10 | |
| CoPINet | 73.90 | 91.42 | 56.37 | |
| MXGNet | 75.31 | 83.91 | 66.70 | |
| DCNet-RC | 78.10 | 92.74 | 63.45 | |
| DCNet-CC | 47.10 | 36.47 | 57.76 | |
| DCNet | 81.08 | 93.58 | 68.57 |
@inproceedings{zhuo2021,
author={Tao Zhuo and Mohan Kankanhalli},
title={Effective Abstract Reasoning with Dual-Contrast Network},
booktitle={International Conference on Learning Representations (ICLR)},
year={2021}
}