Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Validation metrics are key for tracking scientific progress and bridging the current chasm
between artificial intelligence research and its translation into practice. However, increasing …

Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …

摘要图像物体分类与检测是计算机视觉研究中的两个重要的基本问题, 也是图像分割, 物体跟踪,
行为分析等其他高层视觉任务的基础. 本文从物体分类与检测问题的基本定义出发, 首先从实例 …

Abstract The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object
category recognition and detection, providing the vision and machine learning communities …

We seek to build a large collection of images with ground truth labels to be used for object
detection and recognition research. Such data is useful for supervised learning and …

The world is long-tailed. What does this mean for computer vision and visual recognition?
The main two implications are (1) the number of categories we need to consider in …

Recently, methods based on local image features have shown promise for texture and
object recognition tasks. This paper presents a large-scale evaluation of an approach that …

We present a fast and accurate algorithm for computing the 2D pose of objects in images
called cascaded pose regression (CPR). CPR progressively refines a loosely specified …