Fafa-DL / Awesome-BackbonesLinks
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
☆1,784Updated 5 months ago
Alternatives and similar repositories for Awesome-Backbones
Users that are interested in Awesome-Backbones are comparing it to the libraries listed below
Sorting:
- Image augmentation for object detection, segmentation and classification☆670Updated last year
- 标注自己的数据集,训练、评估、测试、部署自己的人工智能算法☆3,694Updated 10 months ago
- ⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀☆814Updated 2 years ago
- 计算机视觉相关综述。包括目标检测、跟踪........☆2,086Updated this week
- 这是一个unet-pytorch的源码,可以训练自己的模型☆1,572Updated last year
- Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common…☆1,130Updated 3 years ago
- 2025年全网最全即插即用模块,免费分享!CVPR2025,AAAI2025,ICLR2025,TNNLS2025,arXiv2025......包含人工智能全领域(机器学习、深度学习等),适用于图像分类、目标检测、实例分割、语义分割、全景分割、姿态识别、医学图像分割、视频…☆854Updated 3 weeks ago
- Awesome List of Attention Modules and Plug&Play Modules in Computer Vision☆1,201Updated 2 years ago
- 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☆2,191Updated 10 months ago
- Self-attention、Non-local、SE、SK、CBAM、DANet☆481Updated 3 years ago
- 常见计算机视觉标注格式相互转换☆556Updated last year
- 这是各个主干网络分类模型的源码,可以用于训练自己的分类模型。☆428Updated 2 years ago
- Jupyter notebook tutorials for MMSegmentation☆626Updated last year
- ICCV 2023 论文和开源项目合集☆2,540Updated last year
- OpenMMLab course index and stuff☆1,163Updated 11 months ago
- 博客论文列表:分系列整理☆387Updated last year
- 利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码☆1,435Updated 2 years ago
- Summary of related papers on visual attention. Related code will be released based on Jittor gradually.☆2,817Updated 8 months ago
- 深度学习中各种即插即用小模块☆411Updated last year
- 这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。☆1,137Updated last year
- 本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!☆252Updated last year
- 收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including p…☆1,367Updated last year
- 这是一个yolov7的库,可以用于训练自己的数据集。☆909Updated last year
- ☆941Updated last year
- Image Processing学习,学习教程:https://github.com/WZMIAOMIAO/deep-learning-for-image-processing 视频对应:https://space.bilibili.com/18161609☆131Updated 9 months ago
- 这是一个yolox-pytorch的源码,可以用于训练自己的模型。☆931Updated last year
- 这是一个yolov8-pytorch的仓库,可以用于训练自己的数据集。☆857Updated last year
- PyTorch深度学习快速入门教程(绝对通俗易懂!)☆3,370Updated 4 months ago
- I hope this repo can help you a lot!☆1,393Updated last year
- 用于pytorch的图像分类,包含多种模型方法,比如AlexNet,VGG,GoogleNet,ResNet,DenseNet等等,包含可完整运行的代码。除此之外,也有colab的在线运行代码,可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。☆233Updated last year