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Found 3 papers, 1 papers with code
PTQ-SL: Exploring the Sub-layerwise Post-training Quantization
Network quantization is a powerful technique to compress convolutional neural networks.
End-to-End Human Object Interaction Detection with HOI Transformer
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-end manner.
Ranked #30 on
Human-Object Interaction Detection
on HICO-DET
(using extra training data)
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method
In this paper, from an information theoretic perspective, we introduce a new definition of redundancy to describe the diversity of hidden units under supervised learning settings by formalizing the effect of hidden layers on the generalization capacity as the mutual information.
