Generate a diverse dataset of 100 face-swapped images using the Inswapper model for training robust face-swap detection classifiers. 🖼️🔍
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Updated
Sep 20, 2025 - Python
Generate a diverse dataset of 100 face-swapped images using the Inswapper model for training robust face-swap detection classifiers. 🖼️🔍
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
Training code and pre-trained models for Neural Cellular Automata on different datasets and tasks
3D medical imaging reconstruction software
DFANet: A Difference Fusion Attention-based method for Semantic Change Detection
[MICCAI 2025 Best Paper and Young Scientist Awards Finalist] Learning Segmentation from Radiology Reports
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
QGIS plugin to facilitate map segmentation.
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Slicer extensions index
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion (ICCV 2025)
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
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MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle
Neural network-based MRI preprocessing: Prep 🧠 images in seconds 🔥
DuPLUS: A dual-prompt vision-language framework for universal medical image segmentation across multiple datasets and modalities using hierarchical text control.
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