Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network.
Yemin ShiYonghong TianYaowei WangWei ZengTiejun HuangPublished in: ICCV (2017)
Keyphrases
- biologically inspired
- action recognition
- recurrent networks
- long term
- spiking neural networks
- learning rules
- biologically plausible
- bag of words
- motor control
- sensory motor
- action classification
- human detection
- human actions
- receptive fields
- computer vision
- scene classification
- network architecture
- object recognition