Accuracy and speed are perfectly balanced, and the latest image segmentation SOTA model is released! ! ! - Code World

Accuracy and speed are perfectly balanced, and the latest image segmentation SOTA model is released! ! !

Enterprise 2022-04-23 02:34:16 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/qq_29462849/article/details/124358189

Accuracy and speed are perfectly balanced, and the latest image segmentation SOTA model is released! ! !

Image segmentation semantic accuracy of measurement Methods

Image segmentation 2020 latest progress

Active contour model for image segmentation

Paper reading "Document-level Relation Extraction as Semantic Segmentation" (2021, DocRED latest SOTA)

MedSegDiff： Medical Image Segmentation with Diffusion Probabilistic Model

SAM (Segment Anything Model) for image segmentation

Image Segmentation Model-Unet and Code

Improvement of Jieba word segmentation accuracy: use paddle mode for word segmentation (use Baidu Flying Paddle deep learning model for word segmentation)

vue3 exports the page into a PDF file (perfectly solving the problem of image and table content segmentation)

ICCV 2023 | EfficientViT: SOTA semantic segmentation model for edge device applications, facilitating efficient SAM reasoning

CVPR 2021｜DS-TransUNet: Transformer Medical Image Segmentation, Expressing SOTA

(New SOTA) UNETR++: Lightweight, Efficient and Accurate 3D Medical Image Segmentation with Shared Weights

The new masterpiece of nnUNet original team! MedNeXt: New SOTA for Medical Image Segmentation

Fast SAM released by the Institute of Automation, Chinese Academy of Sciences | The accuracy is equivalent, and the speed is increased by 50 times! ! !

Dual regression network, up to the latest SOTA for single image super-resolution | CVPR 2020

Abandoning Softmax, the first large linear attention Transformer model: 175 billion parameters, better speed and accuracy

[Computer Vision | Image Segmentation] What is the performance of the general AI large model Segment Anything in medical image segmentation?

Hinton, who the latest research: significantly improve model accuracy, smooth label technology in the end how to use?

Evaluation indicators for image classification and image segmentation (confusion matrix accuracy rate precision recall rate F1 score IOU dice coefficient)

Lama Cleaner# Free and open source image repair tool powered by SOTA AI model

Machine Learning Notes Segment Anything is a general large model for image segmentation

MedSegDiff: Medical Image Segmentation Based on Diffusion Probabilistic Model

Image segmentation model GUI application: implemented based on Tkinter and MMseg

Image segmentation model training with PyTorch Lightning and data loader

[Image Segmentation] Comparison of large model SegmentAnything, FastSAM and MobileSAM

Speed and accuracy combination - EfficientNet Detailed

Image Segmentation

Practical improvement of YOLOv8 | Replacing the backbone network Backbone with the 2023 latest model LSKNet, rotating target detection SOTA

The impact of batchsize and model accuracy

Recommended

Ranking

go common records

SVN power failure recovery

深入理解Redis集群主从复制原理

【二叉树】左叶子之和

[1] The first basic syntax Detailed Kotlin

Linux Ansible creates tasks and executes them

vmware ubuntu virtual machine boots online courses

Use Nodejs to crawl certain data from the web page and write the crawled data into excel (see the next article for the front-end part and the server-side part)

Principle underlying thread pool

The number of bytes occupied when char[ ] is initialized

Daily

More

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)