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Technische Hochschule Ingolstadt
- Ingolstadt, Germany
Stars
Pytorch implementation of Swin MAE https://arxiv.org/abs/2212.13805
Simple tool for converting WSIs from cellSens VSI to pyramidal TIFF
Multimodal Whole Slide Foundation Model for Pathology
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases…
A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Minimal PyTorch implementation of YOLOv3
H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
EVA Series: Visual Representation Fantasies from BAAI
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
[ICCV 2023] You Only Look at One Partial Sequence
czi reader from https://www.lfd.uci.edu/~gohlke/code/czifile.py.html
Schedule-Free Optimization in PyTorch
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
A PyTorch library and evaluation platform for end-to-end compression research
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
🕶 A curated list of Tiny Object Detection papers and related resources.
A vision-language foundation model for computational pathology - Nature Medicine
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Annotated version of the Mamba paper
A list of Medical imaging datasets.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation