Expedition Technology

Machine Learning Intern

Researched novel semi-supervised framework for detecting out-of-distribution inputs. Implemented the OpenMax algorithm: a methodology to adapt deep networks for open set recognition - estimates the probability of an input being from an unknown class in Tensorflow. Investigated existing literature in the domain of Open Set Recognition and performed A-B testing.

Researched anchorless object detection techniques for 3D point cloud object detection. Designed a convolutional neural network on the basis of existing VoxelNet and CenterNet architectures in Tensorflow.

References

2019

  1. expedition.png
    Anchorless object detection for 3D point cloud object detection
    Jaspreet Ranjit, and Andrew Draganov
    Expedition Technology Blog, 2019