Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

Deep Residual Learning for Image Recognition

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ImageNet classification with deep convolutional neural networks

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Densely Connected Convolutional Networks

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ImageNet Large Scale Visual Recognition Challenge

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Pyramid Scene Parsing Network

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The Cityscapes Dataset for Semantic Urban Scene Understanding

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Domain-Adversarial Training of Neural Networks

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Adversarial Discriminative Domain Adaptation

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Learning Transferable Features with Deep Adaptation Networks

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Semi-Supervised Learning Literature Survey

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Deep CORAL: Correlation Alignment for Deep Domain Adaptation

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Scene Parsing through ADE20K Dataset

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The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

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Dilated Residual Networks

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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

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Learning to Adapt Structured Output Space for Semantic Segmentation

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Domain separation networks

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Simultaneous Deep Transfer Across Domains and Tasks

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Image to Image Translation for Domain Adaptation

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Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

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Learning subjective nouns using extraction pattern bootstrapping

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Indoor scene segmentation using a structured light sensor

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Co-Training for Domain Adaptation

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No More Discrimination: Cross City Adaptation of Road Scene Segmenters

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Shifting Weights: Adapting Object Detectors from Image to Video

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Training deep neural-networks based on unreliable labels

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Co-training for predicting emotions with spoken dialogue data

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Class-Balanced Loss Based on Effective Number of Samples

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A survey of unsupervised deep domain adaptation

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Strong-Weak Distribution Alignment for Adaptive Object Detection

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Bidirectional Learning for Domain Adaptation of Semantic Segmentation

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ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

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Progressive Feature Alignment for Unsupervised Domain Adaptation

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Unsupervised Domain Adaptation of Object Detectors: A Survey

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Learning to Track with Object Permanence

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Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

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What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

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Synthetic Examples Improve Generalization for Rare Classes

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Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods

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Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

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Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion

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A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

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Bridging the Domain Gap in Satellite Pose Estimation: A Self-Training Approach Based on Geometrical Constraints

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Pseudo Labels for Unsupervised Domain Adaptation: A Review

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Progressive modality cooperation for multi-modality domain adaptation

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An Investigation of Critical Issues in Bias Mitigation Techniques

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Collaborative Multi-source Domain Adaptation Through Optimal TransportPreprint

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DASA: Domain Adaptation via Saliency Augmentation

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Learning under Unknown Bias

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Data Centric Domain Adaptation for Historical Text with OCR Errors

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MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech RecognitionPreprint

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