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.

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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Gen-n-Val: Agentic Image Data Generation and Validation

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Jun 05, 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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Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection

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Jun 12, 2025
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FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography

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Jun 13, 2025
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Diabetes Prediction and Management Using Machine Learning Approaches

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Jun 13, 2025
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DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction

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Jun 14, 2025
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Integer Binary-Range Alignment Neuron for Spiking Neural Networks

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Jun 06, 2025
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Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration

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Jun 06, 2025
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