ML application on wearable devices to predict a person's activities.
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Updated
Jul 4, 2021 - Python
ML application on wearable devices to predict a person's activities.
Activity and Sequence Detection Evaluation Metrics: A package to evaluate activity detection results, including the sequence of events given multiple activity types.
An example of how to adapt the C3D CNN for another problem. Really a fork of https://github.com/axon-research/c3d-keras
[BMVC 2021]: Official PyTorch implementation of : "Few Shot Temporal Action Localization using Query Adaptive Transformers"
End-to-End Semi-Supervised Learning for Video Action Detection [CVPR 2022]
Code for our CVPR 2021 paper "Coarse-Fine Networks for Temporal Activity Detection in Videos"
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
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