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.

MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection

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May 22, 2025
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Self-Classification Enhancement and Correction for Weakly Supervised Object Detection

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May 22, 2025
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AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection Systems

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May 22, 2025
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Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP

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May 22, 2025
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CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving

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May 22, 2025
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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining

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May 22, 2025
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On the use of Graphs for Satellite Image Time Series

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May 22, 2025
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Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models

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May 22, 2025
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Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting

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May 22, 2025
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Multispectral Detection Transformer with Infrared-Centric Sensor Fusion

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May 21, 2025
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