A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

[CVPR 2022] official repo of "H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection"

Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578

[MIA'21] Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images

[T-CSVT 2021] Domain Contrast for Domain Adaptive Object Detection

The official code open source version of BFDA - based on YOLOv5

Darkhan's Master's thesis repository. The project attempts to tackle the challenge of equipment recognition in an industrial environment using rendered images from 3D models

The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.