Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

ICCV 2019 Michael WrayDiane LarlusGabriela CsurkaDima Damen

We address the problem of cross-modal fine-grained action retrieval between text and video. Cross-modal retrieval is commonly achieved through learning a shared embedding space, that can indifferently embed modalities... (read more)

PDF Abstract ICCV 2019 PDF ICCV 2019 Abstract

Code


No code implementations yet. Submit your code now

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