This paper presents effective combination models with certain combination features for human detection. In the past several years, many existing ...
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This paper presents effective combination models with certain combination features for human detection. In the past several years, many existing ...
We combine the detections from different models with our newly pro- posed weighted-NMS fusion algorithm, which enhances the probable true activations as well as ...
This paper presents effective combination models with certain combination features for human detection. In the past several years, many existing ...
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Effective combination models with certain combination features for human detection with the new proposed weighted-NMS algorithm, which enhances the probable ...
This research paper presents a Machine Learning-based human detection model focusing on improving precision of human movement conditions in video frames.
Oct 4, 2024 · This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms.
There are two families of detectors: the first family detects more objects but with imprecise bounding boxes, while those of the second family do the opposite.
YOLOv4 also includes a dynamic input resizing feature, which allows the model to adjust to input images of different sizes, reducing the need for preprocessing.
Dec 26, 2023 · In this study, we identified features to detect reviews generated by GPT-2 and determined the optimal feature combination for improving detection performance.