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.

Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology

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Jun 17, 2025
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A new approach for image segmentation based on diffeomorphic registration and gradient fields

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Jun 11, 2025
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Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing

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Jun 11, 2025
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Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline

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Jun 05, 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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DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models

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

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Jun 09, 2025
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Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis

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Jun 14, 2025
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