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.

Grounding Beyond Detection: Enhancing Contextual Understanding in Embodied 3D Grounding

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Jun 05, 2025
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Conformal Object Detection by Sequential Risk Control

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May 29, 2025
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Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization

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Jun 10, 2025
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Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping

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May 29, 2025
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Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images

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May 29, 2025
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Adversarial Text Generation with Dynamic Contextual Perturbation

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Jun 10, 2025
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FMG-Det: Foundation Model Guided Robust Object Detection

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May 29, 2025
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The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector

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May 29, 2025
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WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems

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May 29, 2025
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Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

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Jun 08, 2025
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