There can be no doubt that data is the life blood in today’s high-octane high-speed environment of artificial intelligence (AI). The capability of a machine learning framework is more or less directly ...

Type dienstverband: Internship and graduation project Locatie: Den Haag Opleidingsniveau: Master Uren per week: Fulltime - 40 What will be your role?

Abstract: Object co-segmentation (CSG) is to segment the common objects of the same category in multiple relevant images while the co-saliency detection (CSD ... For the high-order semantic modulator, ...

👀 2025.04.01 Add one dataset in RGB-T-Aerial-Object-Detection (RGBT-Tiny). 💎 2025.02.17 Add one dataset-SMOD and some papers in Multispectral Pedestrian Detection. 👀 2025.02.12 Add one dataset-MFAD ...

Once configured, the device supports a variety of applications, including object detection, human pose estimation, and instance segmentation. The inclusion of pre-trained models simplifies the ...

The semantic loss L sem helps to adhere to semantic boundaries ... MWM approach has the potential to be broadly applicable to other fields in the future, such as image segmentation and object ...

Abstract: Oriented object detection (OOD) in remote sensing images (RSIs ... First, supervised by our constructed pseudo-ground truth of segmentation masks, a semantic segmentation branch is built ...

ViT-22B has been trained on various visual tasks, such as image classification, object detection, semantic segmentation, and image captioning. Google Robotics isn't the only research group working ...