Search Results for author: Hamed Amini Amirkolaee

Found 2 papers, 1 papers with code

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image

no code implementations5 Feb 2024 Hamed Amini Amirkolaee, Miaojing Shi, Lianghua He, Mark Mulligan

For the latter, an attention-to-adapt mechanism is introduced to distill relevant information from different domains while generating tree density maps; a hierarchical cross-domain feature alignment scheme is proposed that progressively aligns the features from the source and target domains.

Domain Adaptation

TreeFormer: a Semi-Supervised Transformer-based Framework for Tree Counting from a Single High Resolution Image

1 code implementation12 Jul 2023 Hamed Amini Amirkolaee, Miaojing Shi, Mark Mulligan

Automatic tree density estimation and counting using single aerial and satellite images is a challenging task in photogrammetry and remote sensing, yet has an important role in forest management.

Decoder Density Estimation

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