2 papers
cs.CV2026
FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
Maxime Fontana, Michael Spratling, Miaojing Shi
Adapting models pre-trained on large-scale datasets is a proven way to reach strong performance quickly for down-stream tasks. However, the growth of state-of-the-art mod-els makes…
cs.CV2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image
Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He +1
The process of estimating and counting tree density using only a single aerial or satellite image is a difficult task in the fields of photogrammetry and remote sensing. However, i…