Object Detection in Images - Recent Advances: Analyzing recent advances in object detection algorithms and architectures for accurately locating objects within images
Keywords:
Object detection, Image analysisAbstract
Object detection in images has witnessed significant advancements in recent years, driven by the development of novel algorithms and architectures. This paper provides a comprehensive review of recent advances in object detection, focusing on methods that have improved the accuracy and efficiency of locating objects within images. We discuss key approaches such as single-stage and two-stage detectors, anchor-based and anchor-free methods, and the integration of deep learning with other techniques. Additionally, we highlight challenges and future research directions in object detection to guide further advancements in this field.
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References
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