In this paper, we propose a novel relation network via meta learning to address the problem of few-shot caricature face recognition. In particular, we present a ...
In this paper, we propose a novel relation network via meta learning to address the problem of few-shot caricature face recognition. In particular, we present a ...
A novel relation network via meta learning is proposed to address the problem of few-shot caricature face recognition and combines learned deep and ...
Experimental results on three caricature datasets of WebCar- icature, IIIT-CFW, and Caricature-207 demonstrate that our method performs better than many ...
Caricature refers to a drawing or a sketch in which some features are oversimplified while remaining are exaggerated [23] ; caricature recognition, ...
We propose a novel framework termed as Meta-Continual Learning with Knowledge Embedding to address the task of jointly sketch, cartoon, and caricature face ...
... Caricature to Image Recognition Using Improved Relation Network ... A Relation Network Embedded with Prior Features for Few-Shot Caricature Recognition.
... A relation network embedded with prior features for few-shot caricature recognition. In: 2019 IEEE International Conference on Multimedia and Expo (ICME) ...
DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT · A Relation Network Embedded with Prior Features for Few-Shot Caricature Recognition · Feature ...
The multi-level comparison relation network includes an embedding module and a relation-measurement module, where the embedding module is composed of the ...
Missing: Caricature | Show results with:Caricature