EfficientViT is a new family of vision models for efficient high-resolution vision.
-
Updated
May 9, 2024 - Python
EfficientViT is a new family of vision models for efficient high-resolution vision.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Sandbox for training deep learning networks
[ICLR 2024 Spotlight] 🚀 The official repository of Self-Supervised Learning method "ROPIM", "Pre-training with Random Orthogonal Projection Image Modeling"
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
ImageNet1k-pretrained SE(2) Equivariant Vision Models
RectLabel is an offline image annotation tool for object detection and segmentation.
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer
train resnet on imagenet from scratch with caffe
[CVPR2024 Highlight] Official Code for "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Segmentation models with pretrained backbones. PyTorch.
Add a description, image, and links to the imagenet topic page so that developers can more easily learn about it.
To associate your repository with the imagenet topic, visit your repo's landing page and select "manage topics."