Angle Prediction

Angle prediction, a crucial component in various computer vision tasks, aims to accurately determine the orientation of objects within images or scenes. Current research focuses on improving the robustness and efficiency of angle prediction, particularly addressing challenges like boundary discontinuities in angular representations and the computational cost of high-resolution angle estimations. This involves developing novel loss functions, exploring multi-grained representations (combining coarse and fine-grained predictions), and employing innovative architectures like transformer networks and anchor-free methods. Accurate angle prediction is vital for applications ranging from autonomous vehicle navigation and object detection in aerial imagery to improved performance in long-tailed learning scenarios.