Video Capture and object recognition in Unity
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Updated
Mar 1, 2020 - C#
Video Capture and object recognition in Unity
Educational project for video and speech recognition
The application allows you to calculate interest in a lecture based on detected emotions, and based on the lecturer's way of speaking.
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"
Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)
Video classification project using 3DCNNs and multiple self-supervised pretraining tasks (June, 2018).
Recurrent Neural Network with the joint implementation of two different Self-Supervised Tasks. The purpose of this RNN is to tackle the video recognition task, in terms of first person egocentric action recognition.
[CVPR 2018] Non-local Neural Networks
2019 term project for Machine Learning Practical course at the University of Edinburgh
This is a warehouse for Hiera-Pytorch-models, you can use them to recognize your image.
Классификация изображений на видеокадрах с помощью сервиса машинного обучения.
Apple Sorter Pro
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.
Google Cloud & YouTube-8M Video Understanding Challenge. Can you produce the best video tag predictions?
[CVPR 2019] SlowFast Networks for Video Recognition
Optical speech recognition system utilizing LRC neural networks
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