Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders
cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- On Lazy Training in Differentiable Programming
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Discriminating image representations with principal distortions
- Complexity of Linear Regions in Deep Networks
- Deep ReLU Networks Have Surprisingly Few Activation Patterns
- Deep Residual Learning for Image Recognition
- Deep Networks Always Grok and Here is Why
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks
- A ConvNet for the 2020s
- Geometric Autoencoders -- What You See is What You Decode
- Sensitivity and Generalization in Neural Networks: an Empirical Study
- Exponential expressivity in deep neural networks through transient chaos
- Adversarial Robustness through Local Linearization
- On the Expressive Power of Deep Neural Networks
- ImageNet Large Scale Visual Recognition Challenge
- Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
- The Riemannian Geometry of Deep Generative Models
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Metrics for Probabilistic Geometries
- Wide Residual Networks
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models