{"total":74,"rows":[{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802,"area":null},{"id":"2103.02503","title":"Domain Generalization: A Survey","created":"2021-03-03","cited_by_count":764,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2204.11257","title":"Source-Free Domain Adaptation via Distribution Estimation","created":"2022-04-24","cited_by_count":97,"area":null},{"id":"2306.13653","title":"ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration","created":"2023-06-23","cited_by_count":77,"area":null},{"id":"2103.14357","title":"VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation","created":"2021-03-26","cited_by_count":69,"area":null},{"id":"2107.02053","title":"MixStyle Neural Networks for Domain Generalization and Adaptation","created":"2021-07-05","cited_by_count":64,"area":null},{"id":"2111.12940","title":"Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation","created":"2021-11-25","cited_by_count":57,"area":null},{"id":"2306.05401","title":"RDumb: A simple approach that questions our progress in continual test-time adaptation","created":"2023-06-08","cited_by_count":53,"area":null},{"id":"2108.06685","title":"Vector-Decomposed Disentanglement for Domain-Invariant Object Detection","created":"2021-08-15","cited_by_count":47,"area":null},{"id":"2112.11177","title":"Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization","created":"2021-12-21","cited_by_count":46,"area":null},{"id":"2106.00592","title":"Semi-Supervised Domain Generalization with Stochastic StyleMatch","created":"2021-06-01","cited_by_count":43,"area":null},{"id":"2106.03422","title":"Source-Free Open Compound Domain Adaptation in Semantic Segmentation","created":"2021-06-07","cited_by_count":43,"area":null},{"id":"2104.00808","title":"Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation","created":"2021-04-01","cited_by_count":37,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2207.04587","title":"Gradual Domain Adaptation without Indexed Intermediate Domains","created":"2022-07-11","cited_by_count":26,"area":null},{"id":"2306.01334","title":"Federated Domain Generalization: A Survey","created":"2023-06-02","cited_by_count":25,"area":null},{"id":"2109.00946","title":"Adversarial Robustness for Unsupervised Domain Adaptation","created":"2021-09-02","cited_by_count":24,"area":null},{"id":"2110.04111","title":"Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation","created":"2021-10-08","cited_by_count":24,"area":null},{"id":"2203.03238","title":"Semantic Segmentation in Art Paintings","created":"2022-03-07","cited_by_count":23,"area":null},{"id":"2408.04591","title":"HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts","created":"2024-08-08","cited_by_count":23,"area":null},{"id":"2105.02320","title":"Iterative Human and Automated Identification of Wildlife Images","created":"2021-05-05","cited_by_count":22,"area":null},{"id":"2208.08349","title":"Open Long-Tailed Recognition in a Dynamic World","created":"2022-08-17","cited_by_count":21,"area":null},{"id":"2105.08714","title":"Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks","created":"2021-05-18","cited_by_count":20,"area":null},{"id":"2306.04934","title":"On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning","created":"2023-06-08","cited_by_count":20,"area":null},{"id":"2112.03241","title":"Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey","created":"2021-12-06","cited_by_count":19,"area":null},{"id":"2110.00726","title":"Domain-Specific Bias Filtering for Single Labeled Domain Generalization","created":"2021-10-02","cited_by_count":18,"area":null},{"id":"2306.11180","title":"Hyperbolic Active Learning for Semantic Segmentation under Domain Shift","created":"2023-06-19","cited_by_count":18,"area":null},{"id":"2303.00198","title":"Convolutional Visual Prompt for Robust Visual Perception","created":"2023-03-01","cited_by_count":17,"area":null},{"id":"2108.06962","title":"Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation","created":"2021-08-16","cited_by_count":16,"area":null},{"id":"2207.10667","title":"Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions","created":"2022-07-21","cited_by_count":16,"area":null},{"id":"2208.03901","title":"Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration","created":"2022-08-08","cited_by_count":16,"area":null},{"id":"2202.14030","title":"Learning Semantic Segmentation from Multiple Datasets with Label Shifts","created":"2022-02-28","cited_by_count":14,"area":null},{"id":"2209.15177","title":"Domain Generalization -- A Causal Perspective","created":"2022-09-30","cited_by_count":14,"area":null},{"id":"2305.18712","title":"Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?","created":"2023-05-30","cited_by_count":14,"area":null},{"id":"2102.06696","title":"Efficient Conditional GAN Transfer with Knowledge Propagation across Classes","created":"2021-02-12","cited_by_count":13,"area":null},{"id":"2204.11667","title":"Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation","created":"2022-04-25","cited_by_count":12,"area":null},{"id":"2103.15974","title":"Domain-robust VQA with diverse datasets and methods but no target labels","created":"2021-03-29","cited_by_count":11,"area":null},{"id":"2106.01656","title":"Generalized Domain Adaptation","created":"2021-06-03","cited_by_count":10,"area":null},{"id":"2309.11705","title":"Meta OOD Learning for Continuously Adaptive OOD Detection","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2207.09045","title":"ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation","created":"2022-07-19","cited_by_count":9,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2309.16127","title":"Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation","created":"2023-09-28","cited_by_count":8,"area":null},{"id":"2202.04287","title":"Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation","created":"2022-02-09","cited_by_count":7,"area":null},{"id":"2211.12256","title":"VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions","created":"2022-11-22","cited_by_count":7,"area":null},{"id":"2105.08463","title":"Unsupervised Compound Domain Adaptation for Face Anti-Spoofing","created":"2021-05-18","cited_by_count":6,"area":null},{"id":"2108.00402","title":"Style Curriculum Learning for Robust Medical Image Segmentation","created":"2021-08-01","cited_by_count":6,"area":null},{"id":"2203.10395","title":"Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning","created":"2022-03-19","cited_by_count":6,"area":null},{"id":"2208.13121","title":"Delving into the Continuous Domain Adaptation","created":"2022-08-28","cited_by_count":6,"area":null},{"id":"2310.01508","title":"CODA: Temporal Domain Generalization via Concept Drift Simulator","created":"2023-10-02","cited_by_count":6,"area":null},{"id":"2401.09496","title":"Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation","created":"2024-01-17","cited_by_count":6,"area":null},{"id":"2109.04813","title":"TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation","created":"2021-09-10","cited_by_count":5,"area":null},{"id":"2201.06759","title":"Knowledge Sharing via Domain Adaptation in Customs Fraud Detection","created":"2022-01-18","cited_by_count":5,"area":null},{"id":"2212.08356","title":"Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2301.07354","title":"MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation","created":"2023-01-18","cited_by_count":5,"area":null},{"id":"2111.11969","title":"Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept","created":"2021-11-23","cited_by_count":4,"area":null},{"id":"2303.10945","title":"Open-World Pose Transfer via Sequential Test-Time Adaption","created":"2023-03-20","cited_by_count":4,"area":null},{"id":"2312.06331","title":"Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation","created":"2023-12-11","cited_by_count":3,"area":null},{"id":"2103.13970","title":"Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection","created":"2021-03-25","cited_by_count":2,"area":null},{"id":"2112.08605","title":"Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection","created":"2021-12-16","cited_by_count":2,"area":null},{"id":"2304.01554","title":"MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds","created":"2023-04-04","cited_by_count":2,"area":null},{"id":"2306.13237","title":"Pruning for Better Domain Generalizability","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2405.14278","title":"SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2407.15383","title":"Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2101.09979","title":"A Unified Joint Maximum Mean Discrepancy for Domain Adaptation","created":"2021-01-25","cited_by_count":1,"area":null},{"id":"2207.07624","title":"Feed-Forward Latent Domain Adaptation","created":"2022-07-15","cited_by_count":1,"area":null},{"id":"2509.10134","title":"Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment","created":"2025-09-12","cited_by_count":1,"area":null},{"id":"2603.15475","title":"Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation","created":"2026-03-16","cited_by_count":1,"area":null},{"id":"2408.07527","title":"Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation","created":"2024-08-14","cited_by_count":0,"area":null},{"id":"2411.15173","title":"Un-mixing Test-time Adaptation under Heterogeneous Data Streams","created":"2024-11-16","cited_by_count":0,"area":null},{"id":"2412.02280","title":"AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2412.04682","title":"Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2501.16289","title":"Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles","created":"2025-01-27","cited_by_count":0,"area":null},{"id":"2512.18553","title":"Hierarchical Bayesian Framework for Multisource Domain Adaptation","created":"2025-12-21","cited_by_count":0,"area":null}],"next_cursor":null}