How much Position Information Do Convolutional Neural Networks Encode? | OpenReview

How much Position Information Do Convolutional Neural Networks Encode? Sep 25, 2019 Blind Submission readers: everyone Show Bibtex Keywords: network understanding, absolute position information TL;DR: Our work shows positional information has been implicitly encoded in a network. This information is important for detecting position-dependent features, e.g. semantic and saliency. Abstract: In contrast to fully connected networks, Convolutional Neural Networks (CNNs) achieve efficiency b

2 mentions: @icoxfog417
Date: 2020/01/15 00:51

Referring Tweets

@icoxfog417 CNNは位置情報を学習しているか、学習しているとしたらどこ情報があるか検証した研究。VGG/ResNetの中間特徴から、X/Y方向等のピクセル強度勾配を予測できるか検証している(入力画像(犬or猫等)とは独立の出力を設定)。位置情報は深い層にあり、paddingが学習の肝との結果。

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