In this work, we first present a controlled experiment to investigate the effect of receptive fields for scale variation in object detection.
#2 best model for Object Detection on COCO test-dev
In this paper we present a framework that allows for a quick and flexible design of semi-automatic annotation pipelines.
Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks.
SOTA for Question Answering on SQuAD2.0
Bayesian optimization provides sample-efficient global optimization for a broad range of applications, including automatic machine learning, molecular chemistry, and experimental design.
We present the design and implementation of a visual search system for real time image retrieval on JD. com, the world's third largest and China's largest e-commerce site.
We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).
An alternative to building large monolingual training datasets is to develop cross-lingual systems which can transfer to a target language without requiring training data in that language.
On unsupervised machine translation, we obtain 34. 3 BLEU on WMT'16 German-English, improving the previous state of the art by more than 9 BLEU.
Chinese word segmentation (CWS) is a fundamental step of Chinese natural language processing.