Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
-
Updated
Apr 30, 2018 - Python
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Toolbox for Emotion Analysis using Physiological signals
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
Python code to extract features from Protein sequences for Machine Learning/Deep Learning
Projet-PI-4DS2
Detection of Object-Based Forgery in Advanced Video
Compute cosine similarity with VGG16 and ResNet50
Project is about detecting spliced images using extracted features of image and SVM classifier.
Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017
Feature extraction, HMMs, Neural Nets, and Boosting for Kaggle Cornell Whale detection challenge.
A tool for extraction of lexical features from text based on UIMA and MapReduce
Create a Lane Finding pipeline that finds lane lines on the road
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Grid features extraction for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
大学本科毕业设计
DBP-PSSM
The NPM package to perform statistical models on any text and extract specific features
Add a description, image, and links to the extract-features topic page so that developers can more easily learn about it.
To associate your repository with the extract-features topic, visit your repo's landing page and select "manage topics."