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.

PLOT: Pseudo-Labeling via Video Object Tracking for Scalable Monocular 3D Object Detection

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Jul 03, 2025
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Partial Weakly-Supervised Oriented Object Detection

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Jul 03, 2025
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Automatic Labelling for Low-Light Pedestrian Detection

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Jul 03, 2025
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Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection

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Jul 03, 2025
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Red grape detection with accelerated artificial neural networks in the FPGA's programmable logic

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Jul 03, 2025
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Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection

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Jul 03, 2025
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Perception Activator: An intuitive and portable framework for brain cognitive exploration

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Jul 03, 2025
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A Late Collaborative Perception Framework for 3D Multi-Object and Multi-Source Association and Fusion

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Jul 03, 2025
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Understanding Trade offs When Conditioning Synthetic Data

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Jul 03, 2025
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Learning from Random Subspace Exploration: Generalized Test-Time Augmentation with Self-supervised Distillation

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Jul 02, 2025
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