DeepSetNet: Predicting Sets with Deep Neural Networks

ICCV 2017 S. Hamid RezatofighiVijay Kumar B GAnton MilanEhsan AbbasnejadAnthony DickIan Reid

This paper addresses the task of set prediction using deep learning. This is important because the output of many computer vision tasks, including image tagging and object detection, are naturally expressed as sets of entities rather than vectors... (read more)

PDF Abstract ICCV 2017 PDF ICCV 2017 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


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet