Self-supervised learning for image segmentation in PyTorch
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Updated
Jul 9, 2024 - Python
Self-supervised learning for image segmentation in PyTorch
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
Code for "Keypoint Aware Masked Image Modelling"
Self-Supervised Representation Learning of Semiconductor Wafer Maps using PyTorch
[TMI'24] "Masked Deformation Modeling for Volumetric Brain MRI Self-supervised Pre-training".
A Custom implementation of the ELECTRA training method using PyTorch and HuggingFace Transformers
code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"
Custom groovy scripts for QuaPath
Masked Autoencoder Pretraining on 3D Brain MRI
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
Pytorch reimplementation of "A Unified View of Masked Image Modeling".
[ECCV 2024] Official PyTorch implementation of LUT "Learning with Unmasked Tokens Drives Stronger Vision Learners"
[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
MambaMIM: Pre-training Mamba with State Space Token-interpolation
[WACV'25] Official implementation of "PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplane MRI Slices".
Official codebase for "Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling".
Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
[NIPS'23] Official Code of the paper "Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing"
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