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蒲刚强's Projects

acon icon acon

Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]

action-net icon action-net

Official PyTorch implementation of ACTION-Net: Multipath Excitation for Action Recognition (CVPR'21)

amp-regularizer icon amp-regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

balancedmse icon balancedmse

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

bevt icon bevt

PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

biasloss_skipblocknet icon biasloss_skipblocknet

[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set

co3d icon co3d

Tooling for the Common Objects In 3D dataset.

coatnet-pytorch icon coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".

condensenetv2 icon condensenetv2

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

conformer icon conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

convit icon convit

Code for the Convolutional Vision Transformer (ConViT)

convmae icon convmae

ConvMAE: Masked Convolution Meets Masked Autoencoders

convmixer icon convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

coop icon coop

Learning to Prompt for Vision-Language Models.

cream icon cream

This is a collection of our NAS and Vision Transformer work.

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

ct3d icon ct3d

"Improving 3D Object Detection with Channel-wise Transformer", ICCV2021 accept!

cv-backbones icon cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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