Gao, Zhitong
- Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
2022/12/14 by Zhitong Gao, Gao, Zhitong, Yucong Chen +5 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods
- Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
2021/07/21 by Shuailin Li, Li, Shuailin, Zhitong Gao +3 · 2 citations
Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Image and Object Detection Techniques
- ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
2023/09/12 by Gao, Zhitong, Yan, Shipeng, He, Xuming · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
2024/11/06 by Gao, Zhitong, Li, Bingnan, Salzmann, Mathieu +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
2023/06/20 by Hu, Chuanyang, Yan, Shipeng, Gao, Zhitong +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Robust Semantic Segmentation UNCV2023 Challenge Results
2023/09/27 by Xuanlong Yu, Yi Zuo, Yu, Xuanlong +70 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Large (Vision) Language Models are Unsupervised In-Context Learners
2025/04/03 by Artyom Gadetsky, Andrei Atanov, Gadetsky, Artyom +11 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques