Mixture Density Networks Find Viewpoint the Dominant Factor for Accurate Spatial Offset Regression

ICLR 2020 Anonymous

Offset regression is a standard method for spatial localization in many vision tasks, including human pose estimation, object detection, and instance segmentation. However, if high localization accuracy is crucial for a task, convolutional neural networks will offset regression usually struggle to deliver... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper