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.

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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CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects

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Jun 11, 2025
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SAM2Auto: Auto Annotation Using FLASH

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Jun 09, 2025
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Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting

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Jun 11, 2025
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UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning

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Jun 08, 2025
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BakuFlow: A Streamlining Semi-Automatic Label Generation Tool

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Jun 10, 2025
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ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations

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Jun 10, 2025
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ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction

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Jun 10, 2025
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Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences

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Jun 07, 2025
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