What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based ... ... <看更多>

End -to-end object detection with Transformers ... Transformers are a deep learning architecture that has gained popularity in recent years. They rely on a simple ... ... <看更多>

하는 set(집합) 기반 global loss와 transformer encoder-decoder architecture이다. The main ingredients of the new framework, called DEtection ... ... <看更多>

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection ... ... <看更多>

Transformers have been dominating NLP and image recognition, and now object detection · Pre-requisites · The end-to-end pipeline · Facebook & NYU reduce Covid ... ... <看更多>

Transformer is a deep learning architecture. Facebook's AI Research Team used it to build Detection Transformer (DETR) model that can create end-to-end object ... ... <看更多>

In Computer Vision, object detection is a task where we want our model to distinguish the foreground objects from the background and predict the ... ... <看更多>