Scale-invariant-CNNs/Implementation.md at master · wsgdrfz/Scale-invariant-CNNs · GitHub

Study the Scale Invariance or Equivariance Convolutional Neural Network - wsgdrfz/Scale-invariant-CNNs

saved by

• Alexander Davies

related reading

• Naturally Occurring Equivariance in Neural Networksdistill.pub
• GitHub - Masao-Taketani/FOTS_OCR: TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network. · GitHubgithub.com
• [1411.5908] Understanding image representations by measuring their equivariance and equivalencearxiv.org
• Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
• Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnettransformer-circuits.pub
• [1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networksarxiv.org
• Convolutional Neural Networks, Explained | Towards Data Sciencetowardsdatascience.com
• CS231n Deep Learning for Computer Visioncs231n.github.io
• GitHub - inverse-scaling/prize: A prize for finding tasks that cause large language models to show inverse scaling · GitHubgithub.com
• pytorch-image-models/timm/models/vision_transformer.py at main · huggingface/pytorch-image-models · GitHubgithub.com
• Stand-Alone Self-Attention in Vision Models - NeurIPS-2019-stand-alone-self-attention-in-vision-models-Paper.pdfpapers.nips.cc
• Regularized by Score Matching (LeCun)papers.nips.cc