9 citations · 16 across the 2 of their papers we have counts for
3 papers
Multi-Stage Reinforcement Learning For Object Detection
Jonas Koenig, Simon Malberg, Martin Martens +3
We present a reinforcement learning approach for detecting objects within an image. Our approach performs a step-wise deformation of a bounding box with the goal of tightly framing…
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas
Facial Key Points (FKPs) Detection is an important and challenging problem in the fields of computer vision and machine learning. It involves predicting the co-ordinates of the FKP…
AutoCompete: A Framework for Machine Learning Competition
Abhishek Thakur, Artus Krohn-Grimberghe
In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions. This framework has been learned by us, validated an…