student-teacher-anomaly-detection VS Fast_Dense_Feature_Extraction

Compare student-teacher-anomaly-detection vs Fast_Dense_Feature_Extraction and see what are their differences.

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
1 2
115 68
- -
0.0 0.0
9 months ago almost 2 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.
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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.

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.

What are some alternatives?

When comparing student-teacher-anomaly-detection and Fast_Dense_Feature_Extraction you can also consider the following projects:

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

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)