Diffusion model based language-guided image editing has achieved great
s...
Recent object detection approaches rely on pretrained vision-language mo...
Recently, diffusion frameworks have achieved comparable performance with...
Image harmonization is a critical task in computer vision, which aims to...
Few-shot recognition aims to recognize novel categories under low-data
r...
Learning from limited data is a challenging task since the scarcity of d...
Few-shot image classification aims at recognizing unseen categories with...
Few-shot learning is devoted to training a model on few samples. Recentl...
The goal of few-shot learning is to classify unseen categories with few
...