1 citations · 1 across the 1 of their papers we have counts for
3 papers
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi +1
Active learning (AL) aims to minimize labeling efforts for data-demanding deep neural networks (DNNs) by selecting the most representative data points for annotation. However, curr…
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi +2
Explaining predictions of deep neural networks (DNNs) is an important and nontrivial task. In this paper, we propose a practical approach to interpret decisions made by a DNN objec…
DNN Feature Map Compression using Learned Representation over GF(2)
Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio
In this paper, we introduce a method to compress intermediate feature maps of deep neural networks (DNNs) to decrease memory storage and bandwidth requirements during inference. Un…