Checkpoints size about occupancyanticipation

[srama2512]

Haha, yes. The models have changed over time. The ECCV models were pretty lightweight with the unet_nsf value being 16 and the pose estimator being smaller. Since then, I have changed the pose estimator capacity and tuned unet_nsf further.

The OccAnt(depth) model in the 1st row is large since unet_nsf is 64. If unet_nsf is 16 instead, the model would be just 30MB. For the habitat challenge model, while unet_nsf is 16, the pose estimator capacity is higher. I hope that explains it. I remember trying a larger capacity UNet for the challenge. It didn't give too many benefits and it slowed down the evaluation. So I just stuck to unet_nsf = 16.

[rpartsey]

@srama2512 Thanks for the explanation :)

Closing the issue as resolved.