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Found 3 papers, 1 papers with code
HNeRV: A Hybrid Neural Representation for Videos
Such embedding largely limits the regression capacity and internal generalization for video interpolation.
Ranked #3 on
Video Reconstruction
on UVG
CNeRV: Content-adaptive Neural Representation for Visual Data
We match the performance of NeRV, a state-of-the-art implicit neural representation, on the reconstruction task for frames seen during training while far surpassing for frames that are skipped during training (unseen images).
Facing the Hard Problems in FGVC
In fine-grained visual categorization (FGVC), there is a near-singular focus in pursuit of attaining state-of-the-art (SOTA) accuracy.
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