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Found 3 papers, 1 papers with code
Anomalous Motion Detection on Highway Using Deep Learning
The advent of self-driving cars provides an opportunity to apply visual anomaly detection in a more dynamic application yet no dataset exists in this type of environment.
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification
Attributes, or semantic features, have gained popularity in the past few years in domains ranging from activity recognition in video to face verification.
Ranked #4 on
Facial Attribute Classification
on LFWA
Gradual DropIn of Layers to Train Very Deep Neural Networks
In particular, an untrainable deep network starts as a trainable shallow network and newly added layers are slowly, organically added during training, thereby increasing the network's depth.
