2 papers
cs.CV2020
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
Yang Fang, Geun-Sik Jo, Chang-Hee Lee
Most Siamese network-based trackers perform the tracking process without model update, and cannot learn targetspecific variation adaptively. Moreover, Siamese-based trackers infer…
cs.CV2016
Transfer Learning Based on AdaBoost for Feature Selection from Multiple ConvNet Layer Features
Jumabek Alikhanov, Myeong Hyeon Ga, Seunghyun Ko +1
Convolutional Networks (ConvNets) are powerful models that learn hierarchies of visual features, which could also be used to obtain image representations for transfer learning. The…