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Found 3 papers, 2 papers with code
ViP: Video Platform for PyTorch
This work presents the Video Platform for PyTorch (ViP), a deep learning-based framework designed to handle and extend to any problem domain based on videos.
M-PACT: An Open Source Platform for Repeatable Activity Classification Research
We present M-PACT to overcome existing issues by removing the need to develop boilerplate code which allows users to quickly prototype action classification models while leveraging existing state-of-the-art (SOTA) models available in the platform.
T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition
We explore the erratic behavior caused by this phenomena on state-of-the-art deep network-based methods for action recognition in terms of maximum performance and stability in recognition accuracy across a range of input video speeds.
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