SpeedUpNet: A Plug-and-Play Hyper-Network for Accelerating Text-to-Image Diffusion Models

no code implementations • 13 Dec 2023 • Weilong Chai, Dandan Zheng, Jiajiong Cao, Zhiquan Chen, Changbao Wang, Chenguang Ma

Consequently, SUN significantly reduces the number of inference steps to just 4 steps and eliminates the need for classifier-free guidance.

Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges

1 code implementation • 20 Jul 2022 • Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, Jingting Ding

Facial affect analysis remains a challenging task with its setting transitioned from lab-controlled to in-the-wild situations.

Multi-Task Learning

Cross-Architecture Knowledge Distillation

no code implementations • 12 Jul 2022 • Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Jingting Ding, Liang Li

However, most existing knowledge distillation methods only consider homologous-architecture distillation, such as distilling knowledge from CNN to CNN.

Knowledge Distillation

Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning

no code implementations • CVPR 2018 • Jiajiong Cao, Yingming Li, Zhongfei Zhang

Consequently, we present a local constraint regularized multi-task network, called Partially Shared Multi-task Convolutional Neural Network with Local Constraint (PS-MCNN-LC), where PS structure and local constraint are integrated together to help the framework learn better attribute representations.

Attribute