: The "Drive" component refers to a specialized routing or attention-based mechanism that dynamically prioritizes which patches contain the most relevant information. This ensures the model allocates more focus to discriminative regions (like an object) rather than background noise. Feature Integration
represents a shift from centralized monolithic logic to a living, breathing tapestry of distributed intelligence. In this model, every "patch" is a node of local wisdom, driven by a collective urgency to adapt. patchdrivenet
Traditional vision models often struggle with the trade-off between local detail and global context. While ViTs capture long-range dependencies, they require immense data and compute. introduces a Driven-Patch Mechanism (DPM) that identifies high-salience regions early in the pipeline, allowing the model to allocate more parameters to critical image segments. 2. Architecture The architecture consists of three core components: : The "Drive" component refers to a specialized
PatchDrivenNet: A Locally-Informed Global Feature Aggregation Network In this model, every "patch" is a node
