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2016_ssd-single-shot-multibox-detector

针对ssd算法进行详细的注释，读懂ssd源码

adaptive-attention

adversarial-feature-hallucination-networks-for-few-shot-learning

Computer Vision Final Project. Implementation of Paper "Adversarial Feature Hallucination Networks for Few-Shot Learning".

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

am3

Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.

attention-mechanism-implementation

Self-attention、Non-local、SE、SK、CBAM、DANet

attentionresnet

Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)

awesome-attention-mechanism-in-cv

:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module

awesome-few-shot-class-incremental-learning

Awesome Few-Shot Class-Incremental Learning

awesome-mim

Reading list for research topics in Masked Image Modeling

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-phd-advice

Collection of advice for prospective and current PhD students

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

blog

基于SpringBoot + Vue 开发的前后端分离博客，采用SpringSecurity进行权限管理，ElasticSearch全文搜索，支持QQ、微博第三方登录、在线聊天、发布说说等功能。

bms

Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'

c2rust

Migrate C code to Rust

caffe

center-loss-a-discriminative-feature-learning-approach-for-deep-face-recognition-

For Low inter-class and High intra-class Variance

classicsolution

NLP解决方案[WIP]

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

constellationnet

(ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning

convmixer

cross-transformers-pytorch

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

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~

cswin-transformer

dcap

This repository contains the code to reproduce the few-shot classification experiments carried out in our paper Revisiting Deep Local Descriptor for Improved Few-Shot Classification.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06