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.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking

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Sep 10, 2025
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DEPF: A UAV Multispectral Object Detector with Dual-Domain Enhancement and Priority-Guided Mamba Fusion

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Sep 09, 2025
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Domain Adaptation for Different Sensor Configurations in 3D Object Detection

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Sep 04, 2025
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Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression

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Sep 18, 2025
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MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment

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Sep 17, 2025
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Beyond Motion Cues and Structural Sparsity: Revisiting Small Moving Target Detection

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Sep 09, 2025
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Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures

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Sep 10, 2025
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DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models

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Sep 04, 2025
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SLENet: A Guidance-Enhanced Network for Underwater Camouflaged Object Detection

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Sep 04, 2025
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Improvement of Human-Object Interaction Action Recognition Using Scene Information and Multi-Task Learning Approach

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Sep 11, 2025
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