Linhao-Qu's Stars
isyangshu/MambaMIL
[MICCAI 2024] Official Code for "MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology"
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
openslide/openslide
C library for reading virtual slide images
visresearch/patchmix
The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
KaiyangZhou/CoOp
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
henrryzh1/UR-DMU
Official code for AAAI2023 paper "Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection"
yzhao062/WSAD
A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)
ArielZc/CU-Net
[CVPR 2023] Official code for paper: Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
xuhongzuo/DeepOD
Deep learning-based outlier/anomaly detection
miccaiif/LNMNet
Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'
miccaiif/DGMIL
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
miccaiif/WENO
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
miccaiif/TransMEF
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
miccaiif/FCMEF
This is a PyTorch/GPU implementation of the Information Fusion 2022 paper: Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.:
CityU-AIM-Group/MultiModal-learning