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.

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection

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Jun 25, 2025
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VisionGuard: Synergistic Framework for Helmet Violation Detection

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Jun 26, 2025
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Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection

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Jun 25, 2025
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Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

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Jun 26, 2025
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Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

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Jun 24, 2025
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OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness

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Jun 23, 2025
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Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects

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Jun 25, 2025
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HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation

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Jun 26, 2025
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YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

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Jun 18, 2025
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BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion

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Jun 18, 2025
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