Vision networks whose bottlenecks avoid feature-map interference scale better than MobileNet-style designs at very low parameter counts, and the new NoDepth block demonstrates this on ImageNet.
Learning Multiple Layers of Features from Tiny Images
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Exploring Superposition and Interference in State-of-the-Art Low-Parameter Vision Models
Vision networks whose bottlenecks avoid feature-map interference scale better than MobileNet-style designs at very low parameter counts, and the new NoDepth block demonstrates this on ImageNet.