Zero-shot counting with a dual-stream neural network model

• DOI: 10.48550/arxiv.2405.09953
• Publication Date: 2024-05-16
• Authors: Jessica A. F. Tho...; Hannah Sheahan; Tsvetomira Dumbalska; Julian D. Sandbrink; Manuela Piazza; Christopher Summe...
• Keywords: Zero (linguistics)

Deep neural networks have provided a computational framework for understanding object recognition, grounded in the neurophysiology of primate ventral stream, but fail to account how we process relational aspects scene. For example, deep at problems that involve enumerating number elements an array, problem humans relies on parietal cortex. Here, build 'dual-stream' network model which, equipped with both dorsal and streams, can generalise its counting ability wholly novel items ('zero-shot' counting). In doing so, it forms spatial response fields lognormal codes resemble those observed macaque posterior We use dual-stream make successful predictions about behavioural studies human gaze during similar tasks.