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.

You Sense Only Once Beneath: Ultra-Light Real-Time Underwater Object Detection

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Apr 22, 2025
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A Vision-Enabled Prosthetic Hand for Children with Upper Limb Disabilities

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Apr 22, 2025
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SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems

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Apr 22, 2025
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$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

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Apr 22, 2025
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ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion

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Apr 22, 2025
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Context Aware Grounded Teacher for Source Free Object Detection

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Apr 21, 2025
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Radar Code Design for the Joint Optimization of Detection Performance and Measurement Accuracy in Track Maintenance

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Apr 22, 2025
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SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam

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Apr 21, 2025
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An Efficient Aerial Image Detection with Variable Receptive Fields

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Apr 21, 2025
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What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale

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Apr 21, 2025
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