The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …

Co-saliency detection is a newly emerging and rapidly growing research area in the
computer vision community. As a novel branch of visual saliency, co-saliency detection …

The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …

As an interesting and emerging topic, co-saliency detection aims at simultaneously
extracting common salient objects from a group of images. On one hand, traditional co …

In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD)
problem for images. CoSOD is an emerging and rapidly growing extension of salient object …

The detection results of many existing co-saliency detection methods are easily interfered by
the unrelated salient objects, which have similar appearance characteristics to co-salient …

In this paper, we propose a unified co-salient object detection framework by introducing two
novel insights:(1) looking deep to transfer higher-level representations by using the …

We present a novel group collaborative learning framework (GCNet) capable of detecting co-
salient objects in real time (16ms), by simultaneously mining consensus representations at …

Co-saliency detection, which focuses on extracting commonly salient objects in a group of
relevant images, has been attracting research interest because of its broad applications. In …

With the goal of discovering the common and salient objects from the given image group, co-
saliency detection has received tremendous research interest in recent years. However, as …