Jongchan / attention-module

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

Squeeze-and-Excitation Networks

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

PyTorch implementation of SENet

#计算机科学#Ultralytics YOLO 🚀

#计算机科学#CVPR 2025 论文和开源项目合集

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

[ICCV'23] Dual Aggregation Transformer for Image Super-Resolution

Open-Sora： 完全开源的高效复现类Sora视频生成方案

#计算机科学#Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Official Pytorch implementation of CutMix regularizer

#计算机科学#Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提供多种主流目标检测、实例分割、跟踪、关键点检测算法，配置化的网络模块组件、数据增强策略、损失函数等，推出多种服务器端和移动端工业级SOTA模型，并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。

Data, Benchmarks, and methods submitted to the M4 forecasting competition

#计算机科学#Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

#计算机科学#Approximating Wasserstein distances with PyTorch

The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

#计算机科学#A Collection of Variational Autoencoders (VAE) in PyTorch.

⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~