clovaai/rexnet
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
This project offers powerful yet efficient image recognition models that can identify objects within images, classify entire images, or segment specific instances in a scene. It takes raw image files as input and outputs precise labels and bounding boxes, making it ideal for anyone building computer vision applications who needs high accuracy without excessive computational cost.
451 stars. No commits in the last 6 months.
Use this if you need to integrate advanced image classification, object detection, or instance segmentation into your applications, especially when working with limited computing resources or aiming for faster inference times.
Not ideal if your primary goal is something other than image analysis or if you are not comfortable working with Python and PyTorch.
Stars
451
Forks
62
Language
Python
License
MIT
Category
Last pushed
Jan 30, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/clovaai/rexnet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Jittor/jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
berniwal/swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
zhanghang1989/ResNeSt
ResNeSt: Split-Attention Networks
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with...
ViTAE-Transformer/ViTPose
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose...