Body Mass Estimation on Body Mass Estimation Dataset 8k real samples (test)
11,761,018Total Parametersours (ATTNFNET-11M)
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| ours (ATTNFNET-11M)Batchsize=4, Model=ATTNFNET-11M, Pretrained Network=None, Discriminator=PatchGAN, Input shape=(1, 54, 128), inference step=12025.12 | 11,761,018 | 37.56 | 6,710,000,000 | 8.27 | 124 | 2.2 | 102.34 | 3.27 | 0.024 | |
| BBDMBatchsize=4, Model=Openai U-Net, Pretrained Network=None, Discriminator=None, Input shape=(2, 256, 256), inference step=2002025.12 | 59,303,489 | 237.21 | 1,980,000,000,000 | 1.34 | 766 | 21.3 | 4.1 | 16,643 | 12.63 | |
| Manavar et al.Batchsize=4, Model=ATTNFNET-143M, Pretrained Network=None, Discriminator=PatchGAN, Input shape=(1, 54, 128), inference step=12025.12 | 143,635,940 | 547.93 | 392,000,000,000 | 1.23 | 838 | 17.2 | 4.99 | 67.58 | 0.11 | |
| LBBDMBatchsize=4, Model=Openai U-Net, Pretrained Network=ATTNFNET-11M, Discriminator=PatchGAN, Input shape=(16, 32, 32), inference step=2002025.12 | 258,114,312 | 1,032.46 | 129,000,000,000 | 4.42 | 232.87 | 6.5 | 52.5 | 1,287.02 | 2.76 |