Search Results for author: Rob Wijnhoven

Found 2 papers, 1 papers with code

DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

1 code implementation NeurIPS 2021 Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, Hongsheng Li, Henk Corporaal

However, the existing N:M algorithms only address the challenge of how to train N:M sparse neural networks in a uniform fashion (i. e. every layer has the same N:M sparsity) and suffer from a significant accuracy drop for high sparsity (i. e. when sparsity > 80\%).

Network Pruning

Exploring Different Levels of Supervision for Detecting and Localizing Solar Panels on Remote Sensing Imagery

no code implementations19 Sep 2023 Maarten Burger, Rob Wijnhoven, ShaoDi You

The classifier excels in binary presence detection (0. 79 F1-score), while the object detector (0. 72) offers precise localization.

Object

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