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.

Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing

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Jun 11, 2025
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PhysLab: A Benchmark Dataset for Multi-Granularity Visual Parsing of Physics Experiments

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Jun 07, 2025
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Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection

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Jun 06, 2025
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FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices

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Jun 04, 2025
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Gen-n-Val: Agentic Image Data Generation and Validation

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Jun 05, 2025
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eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures

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Jun 11, 2025
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Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence

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Jun 15, 2025
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DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models

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Jun 09, 2025
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HieraEdgeNet: A Multi-Scale Edge-Enhanced Framework for Automated Pollen Recognition

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Jun 09, 2025
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Description and Discussion on DCASE 2025 Challenge Task 4: Spatial Semantic Segmentation of Sound Scenes

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Jun 12, 2025
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