MOB-Detector utilizes a bi-directional feature fusion network to integrate location and semantic features effectively. Additionally, it employs modulated deformable convolution (MDConv), allowing the ...

Hyperspectral images (HSIs) are being actively used for land use/land cover classification owing to their high spectral resolution. However, this leads to the problem of high dimensionality, making ...

🧩 Method Summary Step 1: Train an AutoEncoder (AE) on pressure maps to obtain meaningful latent embeddings. Step 2: Build a prediction model that maps from other data (e.g., keypoints) to the AE’s ...

First, in order to capture domain-invariant spatiotemporal (DIST) features, a transfer dynamic convolution autoencoder (TDCAE) with a feature decomposition structure is established. Meanwhile, a first ...

Maritime man-overboard search based on MOB-Detector with modulated deformable convolution and bi-directional feature fusion network ...

Enhancing Classification Tasks: The learned latent features can serve as powerful inputs for downstream classification models, potentially improving performance and training efficiency. Autoencoder ...