Open-vocabulary image segmentation aims to partition an image into seman...
While convolutional neural networks (CNNs) have achieved excellent
perfo...
Data augmentation is an essential technique for improving recognition
ac...
Recent works in self-supervised learning have demonstrated strong perfor...
Color images are easy to understand visually and can acquire a great dea...
In action understanding in indoor, we have to recognize human pose and a...
Unsupervised anomaly detection with localization has many practical
appl...
AutoAugment has sparked an interest in automated augmentation methods fo...