This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Object detection is a fundamental but challenging issue in the field of generic image
analysis; it plays an important role in a wide range of applications and has been receiving …

Abstract 3D object detection is receiving increasing attention from both industry and
academia thanks to its wide applications in various fields. In this paper, we propose Point …

In this report, we present a fast and accurate object detection method dubbed DAMO-YOLO,
which achieves higher performance than the state-of-the-art YOLO series. DAMO-YOLO is …

3D object detection from LiDAR point cloud is a challenging problem in 3D scene
understanding and has many practical applications. In this paper, we extend our preliminary …

Cascade is a classic yet powerful architecture that has boosted performance on various
tasks. However, how to introduce cascade to instance segmentation remains an open …

Modern top-performing object detectors depend heavily on backbone networks, whose
advances bring consistent performance gains through exploring more effective network …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

While image retrieval and instance recognition techniques are progressing rapidly, there is a
need for challenging datasets to accurately measure their performance--while posing novel …

In existing CNN based detectors, the backbone network is a very important component for
basic feature 1 extraction, and the performance of the detectors highly depends on it. In this …