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.

GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024

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Dec 03, 2024
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MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis

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Dec 03, 2024
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Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable

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Dec 03, 2024
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Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection

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Dec 03, 2024
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SJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detection

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Dec 03, 2024
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Underload: Defending against Latency Attacks for Object Detectors on Edge Devices

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Dec 03, 2024
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Machine Learning Methods for Automated Interstellar Object Classification with LSST

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Dec 03, 2024
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Improving Object Detection by Modifying Synthetic Data with Explainable AI

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Dec 02, 2024
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Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

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Dec 02, 2024
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An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors

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Dec 03, 2024
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