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VIPriors Object Detection Challenge Report by levi123 is a document available to read on EtoBox.

This document reports on a submission to the VIPriors Object Detection Challenge, focusing on the challenges of object detection with limited data and unbalanced categories. The authors propose effective data augmentation techniques and a suitable model for training from scratch, achieving improved average precision through careful network selection and enhancements like soft-NMS. The paper details various experiments and strategies that led to significant performance improvements in object detection tasks.

Author
levi123
Language
EN