Search Results for author:
Found 2 papers, 0 papers with code
DANICE: Domain adaptation without forgetting in neural image compression
Neural image compression (NIC) is a new coding paradigm where coding capabilities are captured by deep models learned from data.
Distributed Learning and Inference with Compressed Images
Moreover, we may only have compressed images at training time but are able to use original images at inference time, or vice versa, and in such a case, the downstream model suffers from covariate shift.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
