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Second, frame-based models perform quite well on action recognition; is pre-training for good image features sufficient or is pre-training for spatio-temporal features valuable for optimal transfer learning?
Ranked #1 on Egocentric Activity Recognition on EPIC-Kitchens (Actions Top-1 (S2) metric)
Our representation flow layer is a fully-differentiable layer designed to capture the `flow' of any representation channel within a convolutional neural network for action recognition.
Ranked #6 on Action Recognition on HMDB-51
Spiking neural networks (SNNs) can be used in low-power and embedded systems (such as emerging neuromorphic chips) due to their event-based nature.
Ranked #1 on Event data classification on CIFAR10-DVS