| OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks |
2014 |
Pierre et al |
pdf |
multiscale and sliding window |
| UberNet: Training a ‘Universal’ Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory |
2016 |
Iasonas Kokkinos |
pdf |
low, mid, high-level CNN |
| Predicting Depth, Surface Normals and Semantic Labels |
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| with a Common Multi-Scale Convolutional Architecture |
2015 |
David Eigen et al |
pdf |
coarse-fine grained multiscale CNN |
| Multi-Task Learning Using Uncertainty to Weigh Losses |
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| for Scene Geometry and Semantics |
2018 |
Alex Kendall et al |
pdf |
normalize loss with learned variance |