Domain Adaptation Object Detection
Domain Adaptation Computer Vision Applications
Domain Adaptation Papers With Code
Investigating Depth Domain Adaptation For Efficient Human Pose Estimation Springerlink
Syn2real A New Benchmark For Synthetic To Real Visual Domain Adaptation
Pdf Domain Adaptation For Visual Applications A Comprehensive Survey
Figure 1 1 From A Comprehensive Survey On Domain Adaptation For Visual Applications Semantic Scholar
We tackle the domain shift on two levels.
Domain adaptation object detection. Such a distribution mismatch will lead to a significant performance drop. Firstly we introduce briefly the basic concepts of deep domain adaptation. Progressive domain adaptation for object detection han kai hsu1 wei chih hung1 hung yu tseng1 chun han yao2 yi hsuan tsai3 maneesh singh4 ming hsuan yang1 5 1university of california merced 2university of california san diego 3nec laboratories america 4verisk analytics 5google abstract recent deep learning methods for object detection rely on a large amount of bounding box annotations.
Object detection typically assumes that training and test data are drawn from an identical distribution which however does not always hold in practice. Domain adaptive object detection fatemeh mirrashed 1 vlad i. Currently methods 34 39 47 based on lidar devices have shown favorable performance.
Therefore unsupervised domain adaptation techniques are well suited for this task. Unsupervised domain adaptation in visual domain has been studied mostly in light of object recognition but very less work has been done in terms of object detection. Unsupervised domain adaptation for object detection via cross domain semi supervised learning 17 nov 2019 curriculum self paced learning for cross domain object detection 15 nov 2019 scl.
Domain adaptation for object recognition. Monocular 3d object detection domain adaptation pseudo lidar. 1 introduction 3d object detection is in a period of rapid development and plays a critical role in autonomous driving 16 and robot vision 4.
We give a deep adaptation pipeline for object detection in this paper. Deep domain adaptive object detection ddaod has emerged as a new learning paradigm to address the above mentioned challenges. 1 the image level shift such as image.
Domain adaptive faster r cnn for object detection in the wild 1. An unsupervised approach raghuraman gopalan ruonan li and rama chellappa center for automation research university of maryland college park md 20742 usa raghuram liruonan rama umiacs umd edu abstract adapting the classifier trained on a source domain to. Towards accurate domain adaptive object detection via gradient detach based stacked complementary losses 6 nov 2019.
Visda2018 Visual Domain Adaptation Challenge
Dl輪読会 Domain Adaptive Faster R Cnn For Object Detection In The Wild
Zero Shot Deep Domain Adaptation Springerlink
Adversarial Discriminative Domain Adaptation Papers With Code
Pdf Cross Domain Weakly Supervised Object Detection Through Progressive Domain Adaptation Semantic Scholar
The Problem Of Forecasting Hourly Solar Irradiance Over A Multi Step Horizon Is Dealt With By Using Three Kinds Of P In 2020 Forecast Performance Evaluation Multi Step
Cross Domain Weakly Supervised Object Detection Through Progressive Domain Adaptation Issue 100 Furukawa Ai Deeplearning Papers Github
Pdf Unsupervised Domain Adaptation Of Convnets For Medical Image Segmentation Via Adversarial Learning
A Primer On Domain Adaptation This Article Is A Summary Of A Joint By Ivan Panico Towards Data Science
Eccv 2020 Tutorial Domain Adaptation
