facebookresearch/silk
quality grade C, 57 out of 100SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,474 results
SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
A collection of 3D reconstruction papers in the deep learning era.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
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Deep Learning for Camera Calibration and Beyond: A Survey
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🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
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Train a deep learning net with OpenStreetMap features and satellite imagery.
A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
assistant tools for attention visualization in deep learning
(Open Source) Computer Vision + Deep Learning + League of Legends
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Resources of semantic segmantation based on Deep Learning model
Generate fonts using deep learning
Deep Learning Porn Video Classifier/Editor with Caffe
List of projects for 3d reconstruction
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
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sEMG-based gesture recognition using deep learnig
24,524 repositories in the index in total.