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cs.CV2022
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization
Savinay Nagendra, Chaopeng Shen, Daniel Kifer
The purpose of binary segmentation models is to determine which pixels belong to an object of interest (e.g., which pixels in an image are part of roads). The models assign a logit…
cs.CV2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Recent advances in deep learning have resulted in image compression algorithms that outperform JPEG and JPEG 2000 on the standard Kodak benchmark. However, they are slow to train (…