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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…
A Tensorflow implementation of Spatial Transformer Networks.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
deep learning for image processing including classification and object-detection etc.
Release for Improved Denoising Diffusion Probabilistic Models
Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).
A Collection of Variational Autoencoders (VAE) in PyTorch.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
深度学习入门教程, 优秀文章, Deep Learning Tutorial
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
📚 A collection of papers about Referring Image Segmentation.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
Adapting Segment Anything Model for Medical Image Segmentation
《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
TIP2021 - Unsupervised deep image stitching network
A Python package for fast and robust Image Stitching
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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.
Quickly bring up your PyTorch project(a skeleton)