Search Results for author:
Found 3 papers, 3 papers with code
Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training
One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.
Cascade Bagging for Accuracy Prediction with Few Training Samples
To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.
I3D-LSTM: A New Model for Human Action Recognition
Action recognition has already been a heated research topic recently, which attempts to classify different human actions in videos.
Ranked #44 on
Action Recognition
on UCF101
Cannot find the paper you are looking for? You can
Submit a new open access paper.
