student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings (by denguir)
Fast_Dense_Feature_Extraction
A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers" (by erezposner)
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student-teacher-anomaly-detection | Fast_Dense_Feature_Extraction | |
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1 | 2 | |
165 | 85 | |
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0.0 | 0.0 | |
over 2 years ago | over 3 years ago | |
Python | Python | |
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
student-teacher-anomaly-detection
Posts with mentions or reviews of student-teacher-anomaly-detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-31.
-
[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
Fast_Dense_Feature_Extraction
Posts with mentions or reviews of Fast_Dense_Feature_Extraction.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-31.
-
[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
Code for https://arxiv.org/abs/1805.03096 found: https://github.com/erezposner/Fast_Dense_Feature_Extraction
Codes: * https://github.com/erezposner/Fast_Dense_Feature_Extraction * https://github.com/jnhwkim/orthoad/blob/main/model.py#L53
What are some alternatives?
When comparing student-teacher-anomaly-detection and Fast_Dense_Feature_Extraction you can also consider the following projects:
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
HyperGAN - Composable GAN framework with api and user interface
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)