50 citations · 86 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
Dual-Stream Spectral Decoupling Distillation for Remote Sensing Object Detection
Xiangyi Gao, Danpei Zhao, Bo Yuan +1
Knowledge distillation is an effective and hardware-friendly method, which plays a key role in lightweighting remote sensing object detection. However, existing distillation method…
Rank-Aware Agglomeration of Foundation Models for Immunohistochemistry Image Cell Counting
Zuqi Huang, Mengxin Tian, Huan Liu +6
Accurate cell counting in immunohistochemistry (IHC) images is critical for quantifying protein expression and aiding cancer diagnosis. However, the task remains challenging due to…
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…
PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection
Wentao Li, Danpei Zhao, Bo Yuan +2
Fine-grained object detection (FGOD) extends object detection with the capability of fine-grained recognition. In recent two-stage FGOD methods, the region proposal serves as a cru…