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Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A library that helps you split image into small, overlappable patches, and merge patches into original image.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
This repository contains demos I made with the Transformers library by HuggingFace.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A simple consistency training framework for semi-supervised image semantic segmentation
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A semantic segmentation pipeline for custom image annotation
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Official PyTorch implementation of SegFormer
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
The PatchCamelyon (PCam) deep learning classification benchmark.