We present FALSR A,B,C models. The metrics and results can be generated with,
$ python3 calculate.py --pb_path ./pretrained_model/FALSR-A.pb --save_path ./result/| Method | MulAdds | Params | Set5 | Set14 | BSD100 | Urban100 |
|---|---|---|---|---|---|---|
| SRCNN | 52.7G | 57K | 36.66/0.9542 | 32.42/0.9063 | 31.36/0.8879 | 29.50/0.8946 |
| FSRCNN | 6.0G | 12K | 37.00/0.9558 | 32.63/0.9088 | 31.53/0.8920 | 29.88/0.9020 |
| VDSR | 612.6G | 665K | 37.53/0.9587 | 33.03/0.9124 | 31.90/0.8960 | 30.76/0.9140 |
| DRCN | 17,974.3G | 1,774K | 37.63/0.9588 | 33.04/0.9118 | 31.85/0.8942 | 30.75/0.9133 |
| CNF | 311.0G | 337K | 37.66/0.9590 | 33.38/0.9136 | 31.91/0.8962 | - |
| LapSRN | 29.9G | 813K | 37.52/0.9590 | 33.08/0.9130 | 31.80/0.8950 | 30.41/0.9100 |
| DRRN | 6,796.9G | 297K | 37.74/0.9591 | 33.23/0.9136 | 32.05/0.8973 | 31.23/0.9188 |
| BTSRN | 207.7G | 410K | 37.75/- | 33.20/- | 32.05/- | 31.63/- |
| MemNet | 2,662.4G | 677K | 37.78/0.9597 | 33.28/0.9142 | 32.08/0.8978 | 31.31/0.9195 |
| SelNet | 225.7G | 974K | 37.89/0.9598 | 33.61/0.9160 | 32.08/0.8984 | - |
| CARN | 222.8G | 1,592K | 37.76/0.9590 | 33.52/0.9166 | 32.09/0.8978 | 31.92/0.9256 |
| CARN-M | 91.2G | 412K | 37.53/0.9583 | 33.26/0.9141 | 31.92/0.8960 | 31.23/0.9194 |
| MoreMNAS-A | 238.6G | 1039K | 37.63/0.9584 | 33.23/0.9138 | 31.95/0.8961 | 31.24/0.9187 |
| MoreMNAS-B | 256.9G | 1118K | 37.58/0.9584 | 33.22/0.9135 | 31.91/0.8959 | 31.14/0.9175 |
| MoreMNAS-C | 5.5G | 25K | 37.06/0.9561 | 32.75/0.9094 | 31.50/0.8904 | 29.92/0.9023 |
| MoreMNAS-D | 152.4G | 664K | 37.57/0.9584 | 33.25/0.9142 | 31.94/0.8966 | 31.25/0.9191 |
| FALSR-A (ours) | 234.7G | 1,021K | 37.82/0.9595 | 33.55/0.9168 | 32.12/0.8987 | 31.93/0.9256 |
| FALSR-B (ours) | 74.7G | 326k | 37.61/0.9585 | 33.29/0.9143 | 31.97/0.8967 | 31.28/0.9191 |
| FALSR-C (ours) | 93.7G | 408k | 37.66/0.9586 | 33.26/0.9140 | 31.96/0.8965 | 31.24/0.9187 |
Your citations are welcomed!
@inproceedings{chu2020fast,
title={Fast, accurate and lightweight super-resolution with neural architecture search},
author={Chu, Xiangxiang and Zhang, Bo and Ma, Hailong and Xu, Ruijun and Li, Qingyuan},
booktitle={International Conference on Pattern Recognition, ICPR},
year={2020}
}