Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator

IEEE International Conference on Robotics and Automation (ICRA), 2025

5 February 2025

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Papers citing "Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator"

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Title
iMacHSR: Intermediate Multi-Access Heterogeneous Supervision and Regularization Scheme Toward Architecture-Agnostic Training Wei-Bin Kou Guangxu Zhu Yichen Jin Bingyang Cheng Shuai Wang Ming Tang Yik-Chung Wu 197 0 0 01 May 2025
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving Wei-Bin Kou Guangxu Zhu Bingyang Cheng Shuai Wang Ming Tang Yik-Chung Wu 201 0 0 01 May 2025
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 239 14 0 07 May 2024