Dino, Computer Vision, Transformers, Ssl, Deep Learning.
depth, to skip the computation of dropped residuals rather than masking. Use of FSDP with Adam-W optimizer in float 32 precision, but broadcasting and reducing weights to float16. Most of the Above mentioned are not implemented in DinoV1. Check the Paper for a more in-depth read. Feature