no code implementations • 26 Nov 2019 • Panhe Feng, Xuejing Kang, Lizhu Ye, Lei Zhu, Chunpeng Li, Anlong Ming
Besides, considering the restriction of occlusion orientation presentation to occlusion orientation learning, we design a new orthogonal representation for occlusion orientation and proposed the Orthogonal Orientation Regression loss which can get rid of the unfitness between occlusion representation and learning and further prompt the occlusion orientation learning.