A treasure chest for visual classification and recognition powered by PaddlePaddle

PyTorch implementation of 'Swin Transformer' (Liu et al., 2021) from scratch.

Implementation of popular deep learning networks with TensorRT network definition API

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Pre-training Toolbox and Benchmark

building AVA from ex-machina; a lightweight multi-modal system from scratch, just for learning & experimentation

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".

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

Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

Vision Transformer

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

TensorFlow implementation of EGIC (to be announced)

Image Classification Using Swin Transformer With RandAugment, CutMix, and MixUp

Implementing a Swin Transformer model in PyTorch on CIFAR-10

swin-transformer custom for OCR

This repo hosts the water body extraction from satellite images using Trans Deeplab model.

The initial stage of this work focuses on creating a segmented image from a given satellite image with different classes. In the second stage, these images should be converted to an ABM-friendly format. At the final stage, they can be used to simulate the real-world environment with related agents using a suitable Agent-based model.