Stars
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
End-to-End Object Detection with Transformers
A PyTorch implementation of the Transformer model in "Attention is All You Need".
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
3D ResNets for Action Recognition (CVPR 2018)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Learning Continuous Signed Distance Functions for Shape Representation
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Implementations of recent research prototypes/demonstrations using MONAI.
PyTorch implementation of UNet++ (Nested U-Net).
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation