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.

SpatialLM: Training Large Language Models for Structured Indoor Modeling

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Jun 09, 2025
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Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences

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Jun 07, 2025
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CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing

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Jun 09, 2025
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Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception

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Jun 06, 2025
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Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis

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Jun 14, 2025
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Binarization-Aware Adjuster: Bridging Continuous Optimization and Binary Inference in Edge Detection

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Jun 14, 2025
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Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods

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Jun 09, 2025
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Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence

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Jun 15, 2025
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Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets

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Jun 06, 2025
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Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection

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Jun 06, 2025
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