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.

Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement

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Jun 12, 2025
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Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection

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Jun 12, 2025
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FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion

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Jun 12, 2025
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Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration

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Jun 12, 2025
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3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection

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Jun 11, 2025
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DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos

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Jun 11, 2025
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MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning

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Jun 11, 2025
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Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

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Jun 11, 2025
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Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection

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Jun 10, 2025
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Data Augmentation For Small Object using Fast AutoAugment

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Jun 10, 2025
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