Both ConvLSTM and exponential moving average modifications to a static saliency model achieve state-of-the-art video saliency prediction on DHF1K after SALICON pre-training and yield similar maps.
Long-term recurrent convo- lutional networks for visual recognition and description
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Simple vs complex temporal recurrences for video saliency prediction
Both ConvLSTM and exponential moving average modifications to a static saliency model achieve state-of-the-art video saliency prediction on DHF1K after SALICON pre-training and yield similar maps.