This project is an implementation of two-step object detection (super-resolution and object detection) to address degradation of object detection when using bad quality images. This code was implemented based on EDSR, ESRGAN, and Detectorn2.
☆10May 29, 2021Updated 4 years ago
Alternatives and similar repositories for SROD
Users that are interested in SROD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- End-to-End Super Resolution Object Detection Networks☆12Jun 8, 2018Updated 7 years ago
- 📷 [ECCV 2022] Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection☆55Jun 12, 2023Updated 2 years ago
- ☆17Jul 6, 2023Updated 2 years ago
- code for FeNet published in IEEE TGRS☆24Dec 22, 2022Updated 3 years ago
- Project of Knowledge-Based Systems paper: MCT-Net: Multi-hierarchical cross transformer for hyperspectral and multispectral image fusion.☆32Apr 6, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Awesome-RGB-T-IR-Fusion☆11Jul 17, 2023Updated 2 years ago
- extends Scene Segmentation to Instance Segmentation using 8-Connected Components Decision.☆14Jan 22, 2019Updated 7 years ago
- sketch align layers middle no bounds from parent layer☆13Aug 19, 2020Updated 5 years ago
- Edge Enhanced GAN For Remote Sensing Image Super-Resolution☆97Feb 16, 2021Updated 5 years ago
- a TensorFlow implementation of the paper "Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Ima…☆13Nov 30, 2021Updated 4 years ago
- A Pytorch implementation for ELIC (CVPR 2022).☆11Mar 29, 2023Updated 3 years ago
- Neural image compression models optimized for Mask R-CNN from paper "Boosting Neural Image Compression for Machines Using Latent Space Ma…