Unsupervised-Attention-guided-Image-to-Image-Translation
second.pytorch
Unsupervised-Attention-guided-Image-to-Image-Translation | second.pytorch | |
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2 | 4 | |
327 | 697 | |
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0.0 | 0.0 | |
over 4 years ago | almost 4 years ago | |
Python | Python | |
MIT License | MIT License |
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Unsupervised-Attention-guided-Image-to-Image-Translation
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[R] Learning Controls through Structure for Generating Handwriting and Images - Link to free zoom lecture by the authors in comments
Unsupervised Attention-guided Image to Image Translation (NeurIPS 2018) arxiv: https://arxiv.org/abs/1806.02311 git: https://github.com/AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
Unsupervised Attention-guided Image to Image Translation (NeurIPS 2018) - git
second.pytorch
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I dont understad the paper, Could you please give me a hand?
Found relevant code at https://github.com/nutonomy/second.pytorch + all code implementations here
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Teaching cars to see at scale - Computer Vision at Motional - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) arxiv: https://arxiv.org/abs/1812.05784 git: https://github.com/nutonomy/second.pytorch
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) - git
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[R] Teaching cars to see at scale - Dr. Holger Caesar (Author of nuScenes and COCO-Stuff datasets) - Link to zoom lecture by the author in comments
PointPillars: Fast Encoders for Object Detection from Point Clouds (CVPR 2019) arxiv: https://arxiv.org/abs/1812.05784 git: https://github.com/nutonomy/second.pytorch
What are some alternatives?
nuscenes-devkit - The devkit of the nuScenes dataset.
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
magsac - The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold
decoupled-style-descriptors - Code and data for ECCV 2020 paper Generating Handwriting via Decoupled Style Descriptors
painting - Implementation of PointPainting
sam - Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"