PANet is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named PANet among their alternatives. The relationship is not symmetric — how PANet rates them is a separate judgement, made when PANet is analysed in its own right.
calls PANet “Choose if you want PANet's path-aggregation architecture for potentially better instance segmentation, accepting 7.5-year-old unmaintained code.”
Mask R-CNN for object detection and instance segmentation on Pytorch
calls PANet “If you need the historical PANet aggregation method as a research baseline for detection/segmentation; old code, not a production toolkit.”
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
calls PANet “Older instance-segmentation network enhancing Mask R-CNN with path aggregation; choose for PANet architecture, but no active support.”
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
calls PANet “Choose for a two-stage instance segmentation model with path aggregation if you need that architecture.”
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.