Pinned Repositories
2016_SSD-Single-Shot-MultiBox-Detector
针对ssd算法进行详细的注释，读懂ssd源码
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
BMS
Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'
Center-Loss-A-Discriminative-Feature-Learning-Approach-for-Deep-Face-Recognition-
For Low inter-class and High intra-class Variance
Compact-Transformers
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
ConstellationNet
(ICLR 2021) ConstellationNet: Attentional Constellation Nets for Few-Shot Learning
CSWin-Transformer
DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
MLCN
Multi-Level Correlation Network For Few-Shot Image Classification
ssd.pytorch-master
实现SSD算法，每一行每一个参数都添加上注释
Yunkai696's Repositories
Yunkai696/MLCN
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai696/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
Yunkai696/alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Yunkai696/Awesome-Few-Shot-Class-Incremental-Learning
Awesome Few-Shot Class-Incremental Learning
Yunkai696/awesome-MIM
Reading list for research topics in Masked Image Modeling
Yunkai696/awesome-papers-fewshot
Collection for Few-shot Learning
Yunkai696/c2rust
Migrate C code to Rust
Yunkai696/ClassicSolution
NLP解决方案[WIP]
Yunkai696/ConBench
Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".
Yunkai696/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Yunkai696/Few-Shot-Image-Classification-
Yunkai696/fewshot
Yunkai696/FewTURE
Official implementation of the paper "Rethinking Generalization in Few-Shot Classification"
Yunkai696/FLIM
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Yunkai696/GPT4Vis
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
Yunkai696/HTS-ECCV22
Yunkai696/jindongwang
Yunkai696/LDP-Net
Yunkai696/learn2learn
A PyTorch Library for Meta-learning Research
Yunkai696/MemVR
Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models'.
Yunkai696/MiniCPM
MiniCPM-2B: An end-side LLM outperforms Llama2-13B.
Yunkai696/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
Yunkai696/MUB
The code will release soon.
Yunkai696/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Yunkai696/RLAIF-V
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness
Yunkai696/SemanticPrompt
This is the PyTorch implementation of Semantic Prompt for Few-Shot Learning
Yunkai696/Tip-Adapter
Yunkai696/tjuthesis
LaTeX thesis template for Tianjin University. 天津大学硕博学位论文 LaTeX 模板。
Yunkai696/URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
Yunkai696/vision
Datasets, Transforms and Models specific to Computer Vision