Build your Java skills from the ground up by working on simple tasks and beginner-friendly projects. Challenge yourself with more complex Java problems, including those focused on multithreading and ...

Abstract: Few-shot object detection (FSOD) leverages limited labeled data and substantial unlabeled data for detection. However, these approaches mainly target natural images and ignore the spatial ...

Multi-modal object ReID leverages complementary data from diverse modalities (e.g., RGB, NIR, TIR) to overcome challenges like poor lighting and occlusion. MambaPro advances this field by: conda ...

The code is validated on python 3.10.14 + CUDA 11.8 + pyTorch 2.4.0. It should work for newer python, CUDA and pyTorch versions but not guaranteed. conda create -n ...

Abstract: Compressive learning (CL) is an emerging framework that enables machine learning inference tasks to be performed directly in the measurements of compressed sensing (CS), which can reduce ...