A survey and performance evaluation of deep learning methods for small object detection

By Yang Liu, Nickolas M. Wergeles, Yi Shang. Expert systems with applications, 2021

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OtterHD: A High-Resolution Multi-modality Model (2023, background): “Grasping intricate visual details, particularly those of smaller objects, is crucial for computer vision models to be effectively applied in real-world scenarios such as autonomous driving and robotics [32, 53].”
Towards Large-Scale Small Object Detection: Survey and Benchmarks (2022, background): “Furthermore, there already exist several reviews paying their attention to small object detection [25], [26], [27], however, they either fail to the comprehensiveness and in-depth analysis because only partial reviews on limited areas were conducted, or categorize considerable algorithms belonging…”