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Found 5 papers, 3 papers with code
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
We call the aggregate of these contribution maps the Implicit Neural Canvas and we use this concept to demonstrate that the INRs which we study learn to ''see'' the frames they represent in surprising ways.
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
This design shares computation within each group, in the spatial and temporal dimensions, resulting in reduced encoding time of the video.
A Frequency Perspective of Adversarial Robustness
Our analysis shows that adversarial examples are neither in high-frequency nor in low-frequency components, but are simply dataset dependent.
Membership Inference Attacks on Lottery Ticket Networks
The vulnerability of the Lottery Ticket Hypothesis has not been studied from the purview of Membership Inference Attacks.
Slum Segmentation and Change Detection : A Deep Learning Approach
More than one billion people live in slums around the world.
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