14 citations · 14 across the 3 of their papers we have counts for
4 papers
Evolving Without Ending: Unifying Multimodal Incremental Learning for Continual Panoptic Perception
Bo Yuan, Danpei Zhao, Wentao Li +2
Continual learning (CL) is a great endeavour in developing intelligent perception AI systems. However, the pioneer research has predominantly focus on single-task CL, which restric…
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding
Junde Liu, Danpei Zhao, Bo Yuan +2
Significant advancements have been made in semantic image synthesis in remote sensing. However, existing methods still face formidable challenges in balancing semantic controllabil…
Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images
Bo Yuan, Danpei Zhao, Zhuoran Liu +2
Continual learning (CL) breaks off the one-way training manner and enables a model to adapt to new data, semantics and tasks continuously. However, current CL methods mainly focus…
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation
Danpei Zhao, Bo Yuan, Ziqiang Chen +4
Current remote-sensing interpretation models often focus on a single task such as detection, segmentation, or caption. However, the task-specific designed models are unattainable t…