TAPe+ML: A Compact Structured Representation for Multi-Task Computer Vision

TAPe+ML v3 is a compact computer vision system that uses a structured representation called TAPe to encode relationships among perceptual elements before recognition. The system employs a shared TAPe representation and a modular recognition architecture for tasks such as image classification, object detection, and instance segmentation, achieving strong performance with fewer than 100,000 parameters. Experiments show high mAP scores on COCO, strong classification accuracy on Imagenette and ImageNet-Real, and demonstrate benefits in video scene detection and distribution‑shift adaptation in an industrial pilot.

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• computer-vision