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17 search results found

Transfer Learning Toolkit ⭐ 60

Transfer Learning Toolkit for Primary Researchers

Library of transfer learners and domain-adaptive classifiers.

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."

Pretrained Yolo V4 ⭐ 36

Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.

Transferseg ⭐ 25

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Lidar Object Detection Using Complex Yolov4 ⭐ 17

Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB

Object Detection Using Pretrained Yolo V2 ⭐ 16

YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks

Pretrained Efficientdet D0 ⭐ 15

Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.

Pretrained Salsanext ⭐ 12

Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB

Exploitcnn Rnn ⭐ 11

Exploiting Multi-Layer Features Using a CNN-RNN Approach for RGB-D Object Recognition

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)

Explore Deep Network Explainability Using An App ⭐ 8

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, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.

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.

Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition (Complexity 2018)

"Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis", In ASE 2017

Pretrained Deeplabv3plus ⭐ 5

DeepLabv3+ inference and training in MATLAB for Semantic Segmentation

Re Implementations Of Sda ⭐ 5

This repository integrates the codes for some fantastic shallow domain adaptation methods.

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