This repository contains the implementation accompanying our paper DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment. If you find it helpful for your research, please consider citing:

To this end, we introduce a strong DETR-based detector named Domain Adaptive detection TRansformer (DATR) for unsupervised domain adaptation of object detection. First, we propose the Class-wise Prototypes Alignment (CPA) module, which effectively aligns cross-domain features in a class-aware manner by bridging the gap between the object ...

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Then, We propose two Data Augmentation methods based on challenges faced by Transformer-based trackers, DATr for short. They improve trackers from perspectives of adaptability to different scales, flexibility to boundary targets, and robustness to interference, respectively.

DATR is a language for lexical knowledge representation. [1] The lexical knowledge is encoded in a network of nodes. Each node has a set of attributes encoded with it.

In this work, we propose a universal model for multi-domain landmark detection by taking advantage of transformer for modeling long dependencies and develop a domain-adaptive transformer model, named as DATR, which is trained on multiple mixed datasets from different anatomies and capable of detecting landmarks of any image from those anatomies.

Today, our Chief Instructor, Canine Training Squadron; WO Tanner, RAFP, spent his last day in uniform, after 35 years in service. To mark the day, he...

Definition of DATR in Military and Government. What does DATR stand for?

DATR stands for Daily Average True Range and it provides a measure of the volatility of a stock, commodity or currency on a daily basis. The Average True Range (ATR) was developed by J Welles Wilder before the dawn of the computer age, but his indicators such as ATR, RSI (Relative Strength Index), among others, are extremely popular among ...

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