Contrastive learning has shown remarkable success in the field of multimodal
representation learning. In this paper, we propose a pipeline of contrastive language-audio …

Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

Salient object detection (SOD) aims to mimic the human visual system (HVS) and cognition
mechanisms to identify and segment salient objects. However, due to the complexity of …

Change detection is an important tool for long-term Earth observation missions. It takes bi-
temporal images as input and predicts “where” the change has occurred. Different from other …

Camouflaged object detection (COD) aims to identify the objects that conceal themselves in
natural scenes. Accurate COD suffers from a number of challenges associated with low …

Can you find me? By simulating how humans to discover the so-called'perfectly'-
camouflaged object, we present a novel boundary-guided separated attention network (call …

Camouflaged object detection (COD) is a challenging task due to the low boundary contrast
between the object and its surroundings. In addition, the appearance of camouflaged …

A challenging and attractive task in computer vision is underwater object detection. Although
object detection techniques have achieved good performance in general datasets, problems …

Buildings are some of the basic spatial elements of a city. Changes in the spatial
distributions of buildings are of great significance for urban planning and monitoring illegal …

Due to the advantages of all-weather capability and high resolution, synthetic aperture radar
(SAR) image ship detection has been widely applied in the military, civilian, and other …