Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

Semantic segmentation of nighttime images plays an equally important role as that of
daytime images in autonomous driving, but the former is much more challenging due to poor …

With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …

In this paper, we tackle the problem of semantic segmentation for nighttime images that
plays an equally important role as that for daytime images in autonomous driving, but is also …

Semantic segmentation on driving-scene images is vital for autonomous driving. Although
encouraging performance has been achieved on daytime images, the performance on …

Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …

Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …

With the continuous improvement of computing power and deep learning algorithms in
recent years, the foundation model has grown in popularity. Because of its powerful …

Sketches are arguably the most abstract 2D representations of real-world objects. Although
a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly …

Autonomous systems deployed in the real world have to deal with potential problem causing
situations that they have never seen during their training phases. Due to the long tail nature …