Pseudo-labeling as a boost in waste classification task
Self-training method relies on making inference on unlabeled data and using created pseudo-labels in further training.
Detect waste with Transformer
In comparison to well-known two- or one-stage detectors, DETR does not need to set the number of anchor boxes or even threshold for NMS algorithm.
One to rule them all - combination of few datasets of waste
Neural networks can be useful in case of detecting trash in image, but they require collecting a large and good quality data.
Comparing waste detection approaches on extended TACO dataset
Differentiating waste instances under a single class label is challenging task
Coming back to the basics - AI Theory
To understand some of the deeper AI concepts, you need to understand its basics
