The document discusses advanced methodologies in object detection, particularly focusing on the effectiveness of corner pooling techniques and heatmap embeddings in neural networks. It references several academic papers and results from the COCO dataset evaluations. Key metrics like average precision (AP) at different IoU thresholds are presented to compare one-stage and two-stage detection frameworks.
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