luoxijing

Awesome-Vision-Mamba-Models

[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

KITTI_Tutorial

Tutorial for using Kitti dataset easily

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Awesome-Visual-Transformer

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

awesome-real-time-AI

This is a list of awesome edgeAI inference related papers.

davit

[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

vision

Datasets, Transforms and Models specific to Computer Vision

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

md4all

Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions

deep-residual-networks

Deep Residual Learning for Image Recognition

vit-finetune

Fine-tuning Vision Transformers on various classification datasets

ResNet-9

Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.

TPS-CVPR2023

UVC

[ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

deit

Official DeiT repository

Cream

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

DPT

Dense Prediction Transformers

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

bert

TensorFlow code and pre-trained models for BERT

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

RoboDepth

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

awesome-depth

A curated list of publication for depth estimation

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

Optical-Flow-For-Spiking-Camera

annotated-transformer

An annotated implementation of the Transformer paper.

MegaDepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

EV-FlowNet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

PyTorch_YOLOv4

PyTorch implementation of YOLOv4