Empirical Performance of Identity vs. Projection Shortcuts
Evaluation on ImageNet demonstrates that all three shortcut variants (A, B, and C) considerably outperform the 34-layer plain baseline (28.54% top-1 validation error). Specifically, ResNet-34 Option A attains 25.03% top-1 error, Option B achieves 24.52%, and Option C achieves 24.19%.
Option B performs slightly better than Option A because the zero-padded dimensions in Option A do not participate in residual learning. Option C is marginally better than Option B, which is attributed to the extra parameters introduced by thirteen projection shortcuts.
Because the performance differences among Options A, B, and C are small, projection shortcuts are shown to be non-essential for addressing the network degradation problem. To prevent unnecessary memory overhead, computational time complexity, and model size growth, Option C is rejected for deeper architectures.
0
1
Tags
Prep Sessions
Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Ch.3 Deep Residual Network Architecture - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Identity versus Projection Shortcuts - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Learn After
Why does ResNet-34 Option B achieve a lower top-1 error (24.52%) than Option A (25.03%) on ImageNet?
Option C is rejected for deeper architectures primarily to prevent unnecessary memory overhead, computational time complexity, and model size growth.
How does the ImageNet top-1 validation error of the 34-layer plain baseline compare to the ResNet-34 shortcut variants (Options A, B, and C)?
Analyze the empirical performance trade-off between ResNet-34 Option B and Option C on ImageNet regarding parameter overhead and error reduction. Furthermore, explain what the overall performance comparison among Options A, B, and C indicates about the necessity of projection shortcuts for resolving the degradation problem.