Region of Interest pooling (RoI pooling) is a widely used technique in object detection with convolutional neural networks. It extracts fixed-size feature maps (e.g., 7Ã7) from variable-sized regions, enabling efficient classification of multiple objects like cars or pedestrians. RoI Align refines this process by avoiding coordinate quantization and using bilinear interpolation, resulting in more


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