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.

Conformal Object Detection by Sequential Risk Control

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May 29, 2025
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TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation

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Jun 09, 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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3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

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Jun 06, 2025
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BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation

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Jun 11, 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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Grounding Beyond Detection: Enhancing Contextual Understanding in Embodied 3D Grounding

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Jun 05, 2025
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Sensor Model Identification via Simultaneous Model Selection and State Variable Determination

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Jun 12, 2025
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FMG-Det: Foundation Model Guided Robust Object Detection

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May 29, 2025
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