Fine-tuning visual models has been widely shown promising performance on...
A steerable parametric loudspeaker array is known for its directivity an...
Table structure recognition is a crucial part of document image analysis...
Segmenting dental plaque from images of medical reagent staining provide...
Fine-grained object retrieval aims to learn discriminative representatio...
Multi-behavior recommendation exploits multiple types of user-item
inter...
3D object detection is a fundamental and challenging task for 3D scene
u...
With the development of underwater object grabbing technology, underwate...
Underwater object detection for robot picking has attracted a lot of
int...
Estimating 3D bounding boxes from monocular images is an essential compo...
Existing color-guided depth super-resolution (DSR) approaches require pa...
Domain adaptation has received a lot of attention in recent years, and m...
A Multistage Full Matching disparity estimation scheme (MFM) is proposed...
Being a crucial task of autonomous driving, Stereo matching has made gre...
Spatial Description Resolution, as a language-guided localization task, ...
Existing domain adaptation methods aim to reduce the distributional
diff...
Domain Adaptation (DA) aims to generalize the classifier learned from th...
Direct regression-based natural scene text detection methods have alread...
Transport operators have a range of intervention options available to im...
To promote the development of underwater robot picking in sea farms, we
...
Many domain adaptation (DA) methods aim to project the source and target...
In this paper, we propose a monocular 3D object detection framework in t...
Scribble colors based line art colorization is a challenging computer vi...
Currently, most top-performing text detection networks tend to employ
fi...
Recognizing freehand sketches with high arbitrariness is greatly challen...