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.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

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Jun 06, 2025
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Task-driven real-world super-resolution of document scans

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Jun 08, 2025
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Grounding Beyond Detection: Enhancing Contextual Understanding in Embodied 3D Grounding

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Jun 05, 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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Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning

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Jun 04, 2025
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Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing

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May 30, 2025
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Adversarial Text Generation with Dynamic Contextual Perturbation

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Jun 10, 2025
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Conformal Object Detection by Sequential Risk Control

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May 29, 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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