Camouflaged object detection (COD) and camouflaged instance segmentation...
Few-shot object detection aims to simultaneously localize and classify t...
The fashion e-commerce industry has witnessed significant growth in rece...
Interior design is crucial in creating aesthetically pleasing and functi...
Few-shot learning is proposed to tackle the problem of scarce training d...
Camouflaged object detection and segmentation is a new and challenging
r...
The retrieval of 3D objects has gained significant importance in recent ...
Few-shot instance segmentation extends the few-shot learning paradigm to...
Recent years have witnessed great advances in object segmentation resear...
In this paper, we propose Contextual Guided Segmentation (CGS) framework...
Camouflaged objects attempt to conceal their texture into the background...
3D lung segmentation is essential since it processes the volumetric
info...
This paper pushes the envelope on camouflaged regions to decompose them ...
Camouflaged objects are generally difficult to be detected in their natu...
Modern malware evolves various detection avoidance techniques to bypass ...
Representing images by compact hash codes is an attractive approach for
...
The female facial image beautification usually requires professional edi...
Image retargeting effectively resizes images by preserving the
recogniza...
Salient object detection has increasingly become a popular topic in cogn...
In this paper, we propose using augmented hypotheses which consider
obje...
In this paper, we present an adaptive nonparametric solution to the imag...