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10 search results found
Data Augmentation Review
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1,499
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Vane
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220
Immersive and lore friendly enhancements for vanilla Minecraft
Smartpaperscan
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125
this is an android project write in kotlin which detect paper or rectangle by opencv, you can take a picture and crop it
Cnn Rnn Yield Prediction
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94
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
Grid Anchor Based Image Cropping
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89
Project page of the CVPR2019 paper "Reliable and Efficient Image Cropping: A Grid Anchor based Approach"
Csrnet Keras
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84
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
Dataset
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75
Crop/Weed Field Image Dataset
Fusionmatting
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72
Project page for paper A Late Fusion CNN for Digital Matting.
Hidden
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70
Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei
Flickr Cropping Dataset
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42
A dataset that includes photos downloaded from Flickr and annotations that indicates a local window representing a good composition.
Deep Image Processing
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33
Deep learning in image processing
Yield Prediction Dnn
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31
This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.
Edsr Ssim
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31
Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).
A4 Paper Sheet Detection And Cropping
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23
Document Scanner. Automatically detect paper and crop. Writing in C++ from scratch.
Awesome Phenotyping Deep Learning
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19
awesome deep learning for field phenotyping
Single Cell Ko Screens
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19
Repository containing all code for secondary analysis in the manuscript "On the design of CRISPR-based single cell molecular screens", Hill, McFaline-Figueroa et al.
Sle Gan
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16
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Signature_extractor
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11
Signature Extractor
Remarkable Arxiv
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9
Download+Crop+Send arxiv papers to remarkable in one click
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