IEEE

Token Masking Transformer for Weakly Supervised Object Localization

Abstract: Weakly supervised object localization (WSOL) is both a promising and challenging task that aims to achieve object localization exclusively through image category labels for supervision.
GitHub

LLaMA-Unidetector: An LLaMA-Based Universal Framework for Open-Vocabulary Object Detection in Remote Sensing Imagery

We introduce a novel open-set benchmark for remote sensing, accompanied by a self-built Vision Question Answering (VQA) remote sensing dataset, TerraVQA, providing a platform for researchers to ...
IEEE

Language-Guided Object Localization via Refined Spotting Enhancement in Remote Sensing Imagery

Abstract: Language-guided remote sensing image object localization uses intuitive natural language interactions to locate objects of interest within satellite or drone imagery, and has a wide range of ...
Frontiers

Improved object detection method for autonomous driving based on DETR

1 The Heilongjiang Provincial Key Laboratory of Autonomous Intelligence and Information Processing, School of Information and Electronic Technology, Jiamusi University, Jiamusi, China 2 School of ...
GitHub

Real-Time Object Detection, Decoy Filtering and Localization

Real-time object detection, decoy filtering and localization using YOLOv11, OpenCV and Faster R-CNN. Figure 1: Object detection, decoy filtering and 3D position estimation using Depth images Models ...
Frontiers

Deep learning object detection-based early detection of lung cancer

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...