Negar Nejatishahidin

Object Pose Estimation using Mid-level Visual Representations

This work proposes a novel pose estimation model for object categories that can be effectively transferred to pre-viously unseen environments. The deep convolutional network models (CNN) for pose estimation are typically trained and evaluated on datasets specifically curated for object detection, po…