A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Understand

Referring expression comprehension aims to localize the object instance described by a natural language expression.

• Current referring expression methods have achieved good performance.
• However, none of them is able to achieve real-time inference without accuracy drop.
• The reason for the relatively slow inference speed is that these methods artificially split the referring expression comprehension into two sequential stages including proposal generation and proposal ranking.