MfrLearning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
Stars: ✭ 127 (+53.01%)
Generate to adaptImplementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
Stars: ✭ 120 (+44.58%)
Monoculardepth InferenceInference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).
Stars: ✭ 115 (+38.55%)
Iros20 6d Pose Tracking[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Stars: ✭ 113 (+36.14%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (+19.28%)
Detectron Self TrainA PyTorch Detectron codebase for domain adaptation of object detectors.
Stars: ✭ 99 (+19.28%)
SeanetSelf-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 90 (+8.43%)