Despite significant progress in shadow detection, current methods still
...
By integrating complementary information from RGB image and depth map, t...
Camouflaged object detection (COD) aims to accurately detect objects hid...
Due to the light absorption and scattering induced by the water medium,
...
Existing audio-visual event localization (AVE) handles manually trimmed
...
Salient object detection (SOD) aims to determine the most visually attra...
The hippocampus plays a vital role in the diagnosis and treatment of man...
For the video salient object detection (VSOD) task, how to excavate the
...
In recent years, RGB-T salient object detection (SOD) has attracted
cont...
Focusing on the issue of how to effectively capture and utilize
cross-mo...
Fully-supervised salient object detection (SOD) methods have made great
...
The coronavirus disease 2019 (COVID-19) continues to have a negative imp...
Stereo superpixel segmentation aims at grouping the discretizing pixels ...
The spread of COVID-19 has brought a huge disaster to the world, and the...
The goal of co-salient object detection (CoSOD) is to discover salient
o...
Salient object detection (SOD) for optical remote sensing images (RSIs) ...
Underwater images suffer from color casts and low contrast due to wavele...
Superpixel segmentation aims at dividing the input image into some
repre...
Despite the remarkable advances in visual saliency analysis for natural ...
Co-Salient Object Detection (CoSOD) aims at discovering salient objects ...
The diverse spatial resolutions, various object types, scales and
orient...
Retinal images have been widely used by clinicians for early diagnosis o...
We present an effective method to progressively integrate and refine the...
Deep convolutional neural networks have achieved competitive performance...
The paper presents a novel method, Zero-Reference Deep Curve Estimation
...
Arising from the various object types and scales, diverse imaging
orient...
Underwater image enhancement has been attracting much attention due to i...
Co-saliency detection aims to discover common and salient objects in an ...
Visual saliency detection model simulates the human visual system to per...
As a newly emerging and significant topic in computer vision community,
...
Stereoscopic perception is an important part of human visual system that...
Co-saliency detection aims at extracting the common salient regions from...