Stars
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
⭐️一款好用又强大的开源社区,基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ 等主流技术栈,附详细教程,包括Java、Spring、MySQL、Redis、微服务&分布式、消息队列等核心知识点。学编程,就上技术派😁。
Taming Transformers for High-Resolution Image Synthesis
『Java八股文』Java面试套路,Java进阶学习,打破内卷拿大厂Offer,升职加薪!
A PyTorch Implementation of Focal Loss.
An official implementation of the Anchor DETR.
[CVPR 2024] The official implementation for "MS-DETR: Efficient DETR Training with Mixed Supervision"
A Unified Toolbox for Object Perception & Application
[CVPR 2024] Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
[ICCV2023] DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
程序员常读书单整理,附下载地址,希望对你有帮助。书单包括设计模式、计算机网络、操作系统、数据库、数据结构与算法、架构、中间件等等。本仓库持续更新中,可以star一下,下次找书直接在上面搜索
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[CVPR 2023] Official implementation of the paper "Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR"
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
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.
OpenMMLab Detection Toolbox and Benchmark
LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.
Deep Learning Based Steel Pipe Weld Defect Detection
阿里云计算平台DataWorks(https://help.aliyun.com/document_detail/137663.html) 团队出品,为监控而生的数据库连接池
Code of the all the data augmentation [ Based on our survey, that will soon be published ]
A clean and readable Pytorch implementation of CycleGAN