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Found 3 papers, 2 papers with code
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Deep learning approaches have been established as the main methodology for video classification and recognition.
Multitask Learning to Improve Egocentric Action Recognition
We employ this idea to tackle action recognition in egocentric videos by introducing additional supervised tasks.
Class Feature Pyramids for Video Explanation
We demonstrate the method on six state-of-the-art 3D convolution neural networks (CNNs) on three action recognition (Kinetics-400, UCF-101, and HMDB-51) and two egocentric action recognition datasets (EPIC-Kitchens and EGTEA Gaze+).
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