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.

Edge-Boundary-Texture Loss: A Tri-Class Generalization of Weighted Binary Cross-Entropy for Enhanced Edge Detection

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Jul 09, 2025
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AI Space Cortex: An Experimental System for Future Era Space Exploration

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Jul 09, 2025
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MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning

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Jul 09, 2025
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What ZTF Saw Where Rubin Looked: Anomaly Hunting in DR23

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Jul 08, 2025
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DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation

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Jul 08, 2025
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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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