Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

This is a simple text image blind super-resolution model, using BSRGAN

Code for Text Prior Guided Scene Text Image Super-Resolution (TIP 2023)

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

A pytorch implementation of UNet for semantic segmentation especially for remote sensing images

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Implementation of the paper : Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR 2021)

Fire and smoke dataset

Dataset for early detection of Fire and Smoke, Smart cameras, Fire alarm systems

Pictures used for fire and smoke detection.

This dataset consists of domestic Fire and Smoke images.

D-Fire: an image data set for fire and smoke detection.

An image dataset for training fire and frame detection AI

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

WIoU implementation for the YOLOv8

Implementation of the Focal EIoU for the YOLOv8. Replace the following files in the ultralytics/utils folder. Set Focal=False in the case of EIoU and for Focal-EIoU set Focal=True

SIoU implementation for the YOLOv8

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

Lifespan Age Transformation Synthesis code