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Wheat detection using Faster RCNN
Image generation with copy-paste for global wheat detection proposed by Najafian et al., 2021
This project includes my (31st place) solution to the 2021 Global Wheat Challenge on AICrowd. The solution is based on self-supervised learning and the Swin Transformer. The repo is forked from the original implementation of the Swin-transformer for object detection.
An Ongoing study on experimenting several negative transfer mitigation techniques on the Image level