Existing salient object detection methods often adopt deeper and wider
n...
Fine-grained visual recognition is to classify objects with visually sim...
Recent salient object detection (SOD) methods based on deep neural netwo...
Salient object detection requires a comprehensive and scalable receptive...
Conventional RGB-D salient object detection methods aim to leverage dept...
Salient object detection (SOD) is a crucial and preliminary task for man...
Single image dehazing, which aims to recover the clear image solely from...
For the task of mobility analysis of 3D shapes, we propose joint analysi...
Segmenting primary objects in a video is an important yet challenging pr...
A majority of stock 3D models in modern shape repositories are assembled...
Image co-segmentation is a challenging task in computer vision that aims...
Image-based salient object detection (SOD) has been extensively studied ...
In order to track the moving objects in long range against occlusion,
in...