9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 9 cited
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao +2
We propose a novel framework for few-shot learning by leveraging large-scale vision-language models such as CLIP. Motivated by unimodal prototypical networks for few-shot learning,…
cs.LG2023
Deep Dependency Networks for Multi-Label Classification
Shivvrat Arya, Yu Xiang, Vibhav Gogate
We propose a simple approach which combines the strengths of probabilistic graphical models and deep learning architectures for solving the multi-label classification task, focusin…
cs.CV2022★ 1 cited
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network
Zhen Xing, Yijiang Chen, Zhixin Ling +2
3D reconstruction of novel categories based on few-shot learning is appealing in real-world applications and attracts increasing research interests. Previous approaches mainly focu…