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.

LMPNet for Weakly-supervised Keypoint Discovery

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Jul 03, 2025
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Robust Component Detection for Flexible Manufacturing: A Deep Learning Approach to Tray-Free Object Recognition under Variable Lighting

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Jul 01, 2025
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Fair Deepfake Detectors Can Generalize

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Jul 03, 2025
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Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss

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Jul 02, 2025
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Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection

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Jul 01, 2025
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Out-of-Distribution Detection Methods Answer the Wrong Questions

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Jul 02, 2025
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DigiT4TAF -- Bridging Physical and Digital Worlds for Future Transportation Systems

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Jul 03, 2025
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A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern

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Jul 03, 2025
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AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance

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Jul 02, 2025
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SComCP: Task-Oriented Semantic Communication for Collaborative Perception

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Jul 01, 2025
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