Chenshu Chen

According to our database, Chenshu Chen authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rethinking Knowledge Distillation with Raw Features for Semantic Segmentation.

Tao Liu, Chenshu Chen, Xi Yang, Wenming Tan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation.

Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Normalized Feature Distillation for Semantic Segmentation.

Tao Liu, Xi Yang, Chenshu Chen

CoRR, 2022

Mixed-dual-head Meets Box Priors: A Robust Framework for Semi-supervised Segmentation.

Chenshu Chen, Tao Liu, Wenming Tan, Shiliang Pu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head.

Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022