Zhanzhi Su

According to our database, Zhanzhi Su authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline.

Zekai Zhang, Qinghui Chen, Maomao Xiong, Shijiao Ding, Zhanzhi Su, Xinjie Yao, Yiming Sun, Cong Bai, Jinglin Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CSDD-Net: A cross semi-supervised dual-feature distillation network for industrial defect detection.

Mingle Zhou, Zhanzhi Su, Min Li, Yingjie Wang, Gang Li

Knowl. Based Syst., 2024

Revisiting the application of twin connected parallel networks and regression loss functions in industrial defect detection.

Zhanzhi Su, Mingle Zhou, Min Li, Zekai Zhang, Delong Han, Gang Li

Adv. Eng. Informatics, 2024

CB-YOLO: A Small Object Detection Algorithm for Industrial Scenarios.

Hao Chen, Xiaoming Wu, Zhanzhi Su, Ying Zhao, Yunfeng Dong, Xiangzhi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023

Rethinking interactive networks and regression loss functions for industrial defect detection.

Zhanzhi Su, Mingle Zhou, Honglin Wan, Min Li, Zekai Zhang, Delong Han, Rui Shao, Gang Li

J. King Saud Univ. Comput. Inf. Sci., October, 2023

Rethinking the Helmet Wearing Detection Algorithm Based on Reinforcement Feature and Loss Function in Complex Tunnel Scenes.

Min Zhang, Hongliang Liu, Yuanfa Jia, Zhanzhi Su, Weitian Su, Hui Cai, Zongliang Hou, Qianlong Liu

Proceedings of the 5th International Conference on Robotics, 2023

Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios.

Mingle Zhou, Zhanzhi Su, Min Li, Delong Han, Gang Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023