Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery

1 code implementation • NeurIPS 2023 • Sarah Rastegar, Hazel Doughty, Cees G. M. Snoek

In the quest for unveiling novel categories at test time, we confront the inherent limitations of traditional supervised recognition models that are restricted by a predefined category set.

MDL-CW: A Multimodal Deep Learning Framework With Cross Weights

no code implementations • CVPR 2016 • Sarah Rastegar, Mahdieh Soleymani, Hamid R. Rabiee, Seyed Mohsen Shojaee

In this paper, we propose a multimodal deep learning framework (MDL-CW) that exploits the cross weights between representation of modalities, and try to gradually learn interactions of the modalities in a deep network manner (from low to high level interactions).

Attribute Information Retrieval +4