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.

MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection and Data Extraction

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Jun 14, 2025
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FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception

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Jun 16, 2025
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Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection

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Jun 10, 2025
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Data Augmentation For Small Object using Fast AutoAugment

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Jun 10, 2025
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3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection

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Jun 11, 2025
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SpaceTrack-TimeSeries: Time Series Dataset towards Satellite Orbit Analysis

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Jun 16, 2025
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Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy

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Jun 17, 2025
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DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos

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Jun 11, 2025
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GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

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Jun 13, 2025
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Efficient Edge Deployment of Quantized YOLOv4-Tiny for Aerial Emergency Object Detection on Raspberry Pi 5

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Jun 10, 2025
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