LinkNet: Relational Embedding for Scene Graph
Woo, Sanghyun, Kim, Dahun, Cho, Donghyeon, Kweon, In So
–Neural Information Processing Systems
Objects and their relationships are critical contents for image understanding. A scene graph provides a structured description that captures these properties of an image. However, reasoning about the relationships between objects is very challenging and only a few recent works have attempted to solve the problem of generating a scene graph from an image. In this paper, we present a novel method that improves scene graph generation by explicitly modeling inter-dependency among the entire object instances. We design a simple and effective relational embedding module that enables our model to jointly represent connections among all related objects, rather than focus on an object in isolation.
Neural Information Processing Systems
Feb-14-2020, 05:57:16 GMT