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。 t.co/IhesUHkrat

Related Entries

Read more GitHub - victordibia/handtracking: Building a Real-time Hand-Detector using Neural Networks (SSD) on...
0 users, 1 mentions 2019/11/09 15:51
Read more Neural networks for Graph Data NeurIPS2018読み会@PFN
25 users, 9 mentions 2019/01/26 09:46
Read more [1911.12116] Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
0 users, 4 mentions 2019/11/28 23:20
Read more GitHub - thunlp/GNNPapers: Must-read papers on graph neural networks (GNN)
1 users, 0 mentions 2019/08/18 08:16
Read more Deep Forest :Deep Neural Networkの代替へ向けて - QiitaQiita
0 users, 0 mentions 2018/04/25 17:22