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.

D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding

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May 30, 2025
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Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

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May 29, 2025
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Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images

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Jun 08, 2025
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MineInsight: A Multi-sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments

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Jun 05, 2025
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Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data

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Jun 06, 2025
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A Topic Modeling Analysis of Stigma Dimensions, Social, and Related Behavioral Circumstances in Clinical Notes Among Patients with HIV

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Jun 10, 2025
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Joint User Association and Beamforming Design for ISAC Networks with Large Language Models

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Jun 05, 2025
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From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?

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Jun 09, 2025
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Robust sensor fusion against on-vehicle sensor staleness

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Jun 06, 2025
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Contour Errors: An Ego-Centric Metric for Reliable 3D Multi-Object Tracking

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Jun 04, 2025
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