Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features

Turner, J., Gupta, K.M., Morris, B., Aha, D. (2016). Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. In Proceedings of the Workshop on Applied Imagery and Pattern Recognition (held the 45th Annual IEEE AIPR 2016), Washington, D.C., USA, October 18-20, to appear.