2 papers
cs.CV2026
Expert Knowledge-Guided Decision Calibration for Accurate Fine-Grained Tree Species Classification
Chen Long, Dian Chen, Ruifei Ding +3
Accurate fine-grained tree species classification is critical for forest inventory and biodiversity monitoring. Existing methods predominantly focus on designing complex architectu…
cs.CV2025
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
Qiming Xia, Wenkai Lin, Haoen Xiang +5
Unsupervised 3D object detection serves as an important solution for offline 3D object annotation. However, due to the data sparsity and limited views, the clustering-based label f…