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.

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination

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Jun 12, 2025
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Task-driven real-world super-resolution of document scans

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Jun 08, 2025
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Detecting Airborne Objects with 5G NR Radars

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May 30, 2025
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Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms

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May 29, 2025
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EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects

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Jun 04, 2025
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Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization

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Jun 10, 2025
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MS-YOLO: A Multi-Scale Model for Accurate and Efficient Blood Cell Detection

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Jun 04, 2025
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Adversarial Text Generation with Dynamic Contextual Perturbation

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Jun 10, 2025
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Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

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Jun 08, 2025
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Leadership Assessment in Pediatric Intensive Care Unit Team Training

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May 30, 2025
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