... demands are unsuitable for resource-limited edge devices. This work presents a green U-shaped image demosaicing ( GUSID ) method, a novel approach grounded in green learning ( GL ) principles. GUSID addresses the limitations of traditional methods by offering a lightweight, transparent...

... to the terms of the CC BY 4.0 licence Image-text retrieval Multi-modal alignment Green learning Image understanding Image-text retrieval links textual and visual information and is a foundational image understanding application in computer vision. The goal of the task is to link textual...

... the resulting surfaces. This work proposes a computationally efficient and mathematically transparent Green Learning (GL) solution. We name it the lightweight point-cloud surface reconstruction (LPSR) method. LPSR reconstructs surfaces in two steps. First, it progressively generates a sparse voxel...

... ] broke new ground with their source-free depth approach, enabling the reasoning of camouflaged objects in 3D space. The innovative framework of Green Learning, as introduced by [ 18 ], represents a paradigm shift in the computational strategies of modern artificial intelligence. Distinctly moving...

... derivative works of this article (for non-commercial purposes only), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence. Image Saliency Detection Human Gaze Green Learning...

... of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence. Image quality assessment Blind image quality assessment Green learning Objective image quality assessment (IQA) can be classified into three categories: full-reference IQA (FR-IQA), reduced-reference IQA (RR-IQA...

...Yao Zhu; Xinyu Wang; Hong-Shuo Chen; Ronald Salloum; C.-C. Jay Kuo A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work. GS consists of three modules: 1) pixel-based anomaly prediction, 2) embedding location...

... and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence . Point clouds object classification tiny learning model green learning PointHop Given a point cloud object scan, the goal of point cloud classification is to assign it a category label...

... flow estimation task into a set of subtasks, including ego-motion compensation, object association and object-wise motion estimation. It follows the green learning (GL) pipeline and adopts the feedforward data processing path. As a result, its underlying mechanism is more transparent than deep-learning...

... at Link to the terms of the CC BY-NC 4.0 licence . Generative model quality evaluation quality control green learning green AI Image generative models have been widely used in various applications such as image generation, image inpainting, image-to-image translation, etc...

... and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence . Fake image detection generative adversarial networks subspace learning green learning PixelHop We have witnessed the rapid development of image generation techniques based...

..., distribute, translate and create derivative works of this article (for non-commercial purposes only), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence . Deepfake detection green learning...