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[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
3 projects | reddit.com/r/MachineLearning | 31 Jul 2021
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
Want to use synthetic data, but don't want to deal with domain gap?
Check out the extended version of our ICRA 2021 talk for Learning Topology from Synthetic Data for Unsupervised Depth Completion:
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
Here are some of the reconstructions produced by our method:
[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
2 projects | reddit.com/r/MachineLearning | 22 Sep 2021
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data2 projects | reddit.com/r/MachineLearning | 22 Sep 2021
TLDR: Here is a gif showing an overview of our approach
What are some alternatives?
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
HyperGAN - Composable GAN framework with api and user interface
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)