Self-Supervised Representation Learning of Semiconductor Wafer Maps using PyTorch
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Updated
Jun 12, 2023 - Jupyter Notebook
Self-Supervised Representation Learning of Semiconductor Wafer Maps using PyTorch
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
Official codebase for "Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling".
code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"
Pytorch implementation of an energy transformer - an energy-based reccurrent variant of the transformer.
Official Code of the paper "Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing"
Custom groovy scripts for QuaPath
Pytorch reimplementation of "A Unified View of Masked Image Modeling".
Pre-training a VisionTransformer with Masked Image Modelling for semantic segmentation
[ECCV 2022] Official pytorch implementation of "mc-BEiT: Multi-choice Discretization for Image BERT Pre-training" in European Conference on Computer Vision (ECCV) 2022.
Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357
Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
[NeurIPS 2023] Masked Image Residual Learning for Scaling Deeper Vision Transformers
Recent Advances in Vision-Language Pre-training!
[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention
Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for ICML paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)
Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
[CVPR'23] Hard Patches Mining for Masked Image Modeling
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