This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
This is the official pytorch implementation of our paper Discrepant Multiple Instance Learning for Weakly Supervised Object Detection, which is accepted by Pattern Recognition. This implementation is ...
The automatic recognition of food on images has numerous interesting applications, including nutritional tracking in medical cohorts. The problem has received significant research attention, but an ...
A Tensorflow implementation of faster RCNN detection framework by Xinlei Chen (xinleic@cs.cmu.edu). This repository is based on the python Caffe implementation of faster RCNN available here. Note: You ...
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