Towards Accurate BNNs via Modeling Contextual Dependencies

The proposed binary model is built on modeling contextual dependencies. An overview of the BCDNet architecture is illustrate in Fig. 4. We first describe the fundamentals of binary MLP block. Then, we introduce the contextual design of binary convolutions with dynamic embeddings. Finally, we present the complete BCDNet architecture with modeling contextual dependencies.

Data and Resources

Cite this as

Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu (2024). Dataset: Towards Accurate BNNs via Modeling Contextual Dependencies. https://doi.org/10.57702/m6zk7391

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2209.01404
Author Xingrun Xing
More Authors
Yangguang Li
Wei Li
Wenrui Ding
Yalong Jiang
Yufeng Wang
Jing Shao
Chunlei Liu
Xianglong Liu
Homepage https://github.com/Sense-GVT/BCDNet