SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios

1 code implementation • 6 Dec 2023 • Mushui Liu, Weijie He, Ziqian Lu, Yunlong Yu

Prompt learning is a powerful technique for transferring Vision-Language Models (VLMs) such as CLIP to downstream tasks.

TransFA: Transformer-based Representation for Face Attribute Evaluation

1 code implementation • 12 Jul 2022 • Decheng Liu, Weijie He, Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao

The multiple branches transformer is employed to explore the inter-correlation between different attributes in similar semantic regions for attribute feature learning.

Attribute Multi-Label Classification +1

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning

no code implementations • 8 Jun 2022 • Weijie He, Ting Chen

In the critic network, a supervised diagnosis model for disease predictions is involved to precisely estimate the state-value function.

reinforcement-learning Reinforcement Learning (RL)

BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis

no code implementations • 2 Dec 2020 • Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen

To address the challenge, we propose a non-RL Bipartite Scalable framework for Online Disease diAgnosis, called BSODA.

Disease Prediction Reinforcement Learning (RL)