Order-Free RNN with Visual Attention for Multi-Label Classification

18 Jul 2017Shang-Fu ChenYi-Chen ChenChih-Kuan YehYu-Chiang Frank Wang

In this paper, we propose the joint learning attention and recurrent neural network (RNN) models for multi-label classification. While approaches based on the use of either model exist (e.g., for the task of image captioning), training such existing network architectures typically require pre-defined label sequences... (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