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.

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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Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection

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Jun 16, 2025
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Comparison of Two Methods for Stationary Incident Detection Based on Background Image

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Jun 17, 2025
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How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection

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Jun 16, 2025
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Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation

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Jun 18, 2025
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FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation

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Jun 23, 2025
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Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

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Jun 16, 2025
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Cognitive Synergy Architecture: SEGO for Human-Centric Collaborative Robots

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Jun 16, 2025
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UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data

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Jun 16, 2025
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