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cs.CV2022★ 8 cited
CNeRV: Content-adaptive Neural Representation for Visual Data
Hao Chen, Matt Gwilliam, Bo He +2
Compression and reconstruction of visual data have been widely studied in the computer vision community, even before the popularization of deep learning. More recently, some have u…
cs.CV2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
Matthew Gwilliam, Abhinav Shrivastava
By leveraging contrastive learning, clustering, and other pretext tasks, unsupervised methods for learning image representations have reached impressive results on standard benchma…