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Awesome weakly-supervised image semantic segmentation；scribble supervision，bounding box supervision, point supervision, image-level supervision. 2016-2024
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
assistant tools for attention visualization in deep learning
Awesome weakly-supervised object localization, paper list, performance list. 2016-2024
LeemSaebom / Attention-Guided-CAM-Visual-Explanations-of-Vision-Transformer-Guided-by-Self-Attention
The official code for Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
Index your memes by their content and text, making them easily retrievable for your meme warfare pleasures. Find funny fast.
DICOM Toolkit (dicomtk) is a Python library that parses a variety of dicom files into an SQLite database and can export to other formats.
VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)
Clinical Histopathology Imaging Evaluation Foundation Model
Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, B…
A CPU tool for benchmarking the peak of floating points
Script that moves all desired DCM tag-values from a directory full of DCMs into a PostgreSQL DB table.
MONAI Versatile Imaging Segmentation and Annotation
🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
OpenNeuro dataset available at https://openneuro.org/datasets/ds004173
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Extension for 3D Slicer for running MONAI Auto3DSeg models
Collection of awesome medical dataset resources.