"baseline" is the weight of the original yolov5s (with small target layer) and the training result trimmed by the adaptive scaling channel.
"yolov5s-sparse" is the sparsification result of the model before quadratic pruning
"yolov5s-finetuned" is the result of fine-tuning, i.e., the result of the final branch reduction.