Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN
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Updated
Jun 11, 2024 - Jupyter Notebook
Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".
A treasure chest for visual classification and recognition powered by PaddlePaddle
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
OpenMMLab Detection Toolbox and Benchmark
Dataset of coral images conditions in Koh Tao, Thailand
Implementation of popular deep learning networks with TensorRT network definition API
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we used Transformer architectures (such as Vision Transformer and Swin Transformer). This dataset is Bone Fracture Multi-Region X-ray, available on Kaggle.
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
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".
TensorFlow implementation of EGIC (to be announced)
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