Camouflaged object detection (COD) and camouflaged instance segmentation...
The fashion e-commerce industry has witnessed significant growth in rece...
Interior design is crucial in creating aesthetically pleasing and functi...
3D object retrieval is an important yet challenging task, which has draw...
The retrieval of 3D objects has gained significant importance in recent ...
Few-shot instance segmentation extends the few-shot learning paradigm to...
According to the World Federation of the Deaf, more than two hundred sig...
Finger vein recognition (FVR) systems have been commercially used, espec...
We have investigated a new application of adversarial examples, namely
l...
Recent advances in deep learning have led to substantial improvements in...
Deep neural networks are vulnerable to adversarial examples (AEs), which...
Recent years have witnessed great advances in object segmentation resear...
Estimating the mask-wearing ratio in public places is important as it en...
The proliferation of deepfake media is raising concerns among the public...
In this paper, we propose Contextual Guided Segmentation (CGS) framework...
Camouflaged objects attempt to conceal their texture into the background...
This paper presents the first adversarial example based method for attac...
This paper pushes the envelope on camouflaged regions to decompose them ...
Camouflaged objects are generally difficult to be detected in their natu...
This paper pushes the envelope on salient regions in a video to decompos...
Detecting salient objects from a video requires exploiting both spatial ...
This paper presents a method for detecting salient objects in videos whe...