Learning to solve complex sequences of tasks--while both leveraging transfer and avoiding
catastrophic forgetting--remains a key obstacle to achieving human-level intelligence. The …

Abstract Development of region proposal algorithms has rapidly become one of the most
critical research areas over recent years. The perfect accuracy of region-based recognition …

Object proposal is one of the most key pre-processing steps for nighttime vehicle detection
systems in intelligent transportation systems. However, most current object proposal …

We are motivated by the need for a generic object proposal generation algorithm which
achieves good balance between object detection recall, proposal localization quality and …

A plethora of algorithms have been defined for foreground segmentation, a fundamental
stage for many computer vision applications. In this paper, we propose a post-processing …

Existing unsupervised video object segmentation generates object information from the
whole video, which ignores analysis of the local clips. However, we observe that local clips …

Closed contour is an important objectness indicator. We propose a new measure subject to
the completeness and tightness constraints, where the optimized closed contour should be …

As a fundamental preprocessing of various multimedia applications, object proposal aims to
detect the candidate windows possibly containing arbitrary objects in images with two typical …

We are motivated by the need for an object proposal generation algorithm that achieves a
good balance between proposal localization quality, object recall and computational …

In object detection, object proposal methods have been widely used to generate candidate
regions which may contain objects. Object proposal based on superpixel merging is one …