[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
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Updated
Aug 10, 2024 - Python
[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
[ECCV 2020] Code release for "Resolution Switchable Networks for Runtime Efficient Image Recognition"
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
Content-adaptive storage and processing of large volumetric microscopy data using the Adaptive Particle Representation (APR)
PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
Create and view APR images in napari
Map images to one another with landmarks and create a script view them in napari.
Simple Multi-resolution Gated GNN
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