A treasure chest for visual classification and recognition powered by PaddlePaddle
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Updated
May 28, 2024 - Python
A treasure chest for visual classification and recognition powered by PaddlePaddle
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
OpenMMLab Detection Toolbox and Benchmark
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
PyTorch implementation of 'Swin Transformer' (Liu et al., 2021) from scratch.
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
OpenMMLab Pre-training Toolbox and Benchmark
Implementation of the PyTorch version of the Weather Deep Learning Model Zoo.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Implementing a Swin Transformer model in PyTorch on CIFAR-10
swin-transformer custom for OCR
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
MICCAI2023 - TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation
A transformer model based on sliding kernel self attention mechanism. Swin Transformer's evil twin.
This is a warehouse for STL-Pytorch-model, can be used to train your image-datasets for vision tasks.
Self-Supervised Learning with Swin UNETR for Segmentation of Organs at Risk and Tumor in PET/CT Images
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]
This is a warehouse for Agent-Attention-Models based on pytorch framework, can be used to train your image datasets.
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