CVPR 2024 论文和开源项目合集
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Accelerated deep learning R&D
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
The collection of pre-trained, state-of-the-art AI models for ailia SDK
ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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