Large-scale vision-language models (LVLMs) pretrained on massive image-t...
With the rapid development of wearable cameras, a massive collection of
...
Recent years have witnessed the great success of blind image quality
ass...
Crowd understanding has aroused the widespread interest in vision domain...
Due to the lack of natural scene and haze prior information, it is great...
Few-shot segmentation segments object regions of new classes with a few ...
Class activation map (CAM) highlights regions of classes based on
classi...
This paper studies few-shot segmentation, which is a task of predicting
...
Existing method generates class activation map (CAM) by a set of fixed
c...
Recently, deep supervised hashing methods have become popular for large-...
In the field of objective image quality assessment (IQA), the Spearman's...
Image segmentation refers to the process to divide an image into
nonover...