Object Detection


Object detection is a computer vision task in which the goal is to detect and locate objects of interest in an image or video. The task involves identifying the position and boundaries of objects in an image, and classifying the objects into different categories. It forms a crucial part of vision recognition, alongside image classification and retrieval.

Automated river gauge plate reading using a hybrid object detection and generative AI framework in the Limpopo River Basin

Add code
Dec 29, 2025
Viaarxiv icon

YOLO-IOD: Towards Real Time Incremental Object Detection

Add code
Dec 28, 2025
Viaarxiv icon

Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems

Add code
Dec 30, 2025
Viaarxiv icon

SCAFusion: A Multimodal 3D Detection Framework for Small Object Detection in Lunar Surface Exploration

Add code
Dec 27, 2025
Viaarxiv icon

AI-Driven Evaluation of Surgical Skill via Action Recognition

Add code
Dec 30, 2025
Viaarxiv icon

Wavelet-based Multi-View Fusion of 4D Radar Tensor and Camera for Robust 3D Object Detection

Add code
Dec 28, 2025
Viaarxiv icon

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection

Add code
Dec 27, 2025
Viaarxiv icon

Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework

Add code
Dec 27, 2025
Viaarxiv icon

Comparing Object Detection Models for Electrical Substation Component Mapping

Add code
Dec 27, 2025
Viaarxiv icon

Communication-Efficient Federated AUC Maximization with Cyclic Client Participation

Add code
Jan 04, 2026
Viaarxiv icon