Transfer Learning Toolkit for Primary Researchers
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Updated
Jun 11, 2021 - MATLAB
Transfer Learning Toolkit for Primary Researchers
Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."
Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualiz…
Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB
TSS Action Segmentation: Transfer learning based action segmentation in temporal space
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition (Complexity 2018)
Deep Multitask Metric Learning for Offline Signature Verification
Code for our paper "CORF3D contour maps with application to Holstein cattle recognition using RGB and thermal images"
BubCNN is a bubble detection system which employs a pretrained Faster RCNN module to locate bubbles and a pretrained shape regression CNN module to approximate the bubble shape by an ellipse.
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.
Code for our paper "A Computer Vision Pipeline that Uses Thermal and RGB Images for the Recognition of Holstein Cattle"
"Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis", In ASE 2017
DeepLabv3+ inference and training in MATLAB for Semantic Segmentation
ransfer learning, GAN, Semi-supervised learning,CycleGAN
Basic MATLAB character recognition by transfer learning
Exploiting Multi-Layer Features Using a CNN-RNN Approach for RGB-D Object Recognition (ECCV 2018 workshops)
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