Revisiting Dead Leaves Model: Training With Synthetic Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3132289
Abstract: Deep neural networks targeting stereo disparity estimation have recently surpassed the performance of hand-crafted traditional models. However, training these networks require large labeled databases for obtaining accurate disparity estimates. In this letter, we address the… read more here.
Keywords: revisiting dead; leaves model; synthetic data; dead leaves ... See more keywords
Ecology and methodology of comparing traits and decomposition rates of green leaves versus senesced litter across plant species and types
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Ecology"
DOI: 10.1111/1365-2745.14287
Abstract: Variation in leaf traits is critical for carbon gains and losses during leaf life and drives litter carbon and nutrient losses via decomposition. Accurately quantifying litter decomposition parameters is essential for assessing ecosystem carbon and… read more here.
Keywords: methodology; decomposition rates; dead leaves; decomposition ... See more keywords