{"list":"other","total":83,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3241},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"1710.03077","title":"Deeper, Broader and Artier Domain Generalization","created":"2017-10-09","cited_by_count":986},{"id":"2002.08546","title":"Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation","created":"2020-02-20","cited_by_count":848},{"id":"1608.02192","title":"Playing for Data: Ground Truth from Computer Games","created":"2016-08-07","cited_by_count":818},{"id":"1712.02560","title":"Maximum Classifier Discrepancy for Unsupervised Domain Adaptation","created":"2017-12-07","cited_by_count":683},{"id":"1811.12833","title":"ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation","created":"2018-11-30","cited_by_count":623},{"id":"1802.10349","title":"Learning to Adapt Structured Output Space for Semantic Segmentation","created":"2018-02-28","cited_by_count":584},{"id":"2004.05498","title":"FDA: Fourier Domain Adaptation for Semantic Segmentation","created":"2020-04-11","cited_by_count":541},{"id":"1908.09822","title":"Confidence Regularized Self-Training","created":"2019-08-26","cited_by_count":419},{"id":"1807.09441","title":"Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net","created":"2018-07-25","cited_by_count":364},{"id":"1907.07484","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","created":"2019-07-17","cited_by_count":336},{"id":"1904.10620","title":"Bidirectional Learning for Domain Adaptation of Semantic Segmentation","created":"2019-04-24","cited_by_count":308},{"id":"1809.09478","title":"Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation","created":"2018-09-25","cited_by_count":295},{"id":"1909.00889","title":"Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data","created":"2019-09-02","cited_by_count":246},{"id":"1612.02649","title":"FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation","created":"2016-12-08","cited_by_count":243},{"id":"2007.08702","title":"DACS: Domain Adaptation via Cross-domain Mixed Sampling","created":"2020-07-17","cited_by_count":226},{"id":"2003.03773","title":"Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation","created":"2020-03-08","cited_by_count":222},{"id":"2004.04393","title":"Universal Source-Free Domain Adaptation","created":"2020-04-09","cited_by_count":220},{"id":"2004.07703","title":"Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision","created":"2020-04-16","cited_by_count":198},{"id":"1812.05418","title":"DLOW: Domain Flow for Adaptation and Generalization","created":"2018-12-13","cited_by_count":177},{"id":"2008.12197","title":"Instance Adaptive Self-Training for Unsupervised Domain Adaptation","created":"2020-08-27","cited_by_count":177},{"id":"2103.16372","title":"Source-Free Domain Adaptation for Semantic Segmentation","created":"2021-03-30","cited_by_count":168},{"id":"2003.00867","title":"Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation","created":"2020-03-02","cited_by_count":153},{"id":"1910.13049","title":"Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation","created":"2019-10-29","cited_by_count":151},{"id":"1901.05427","title":"Domain Adaptation for Structured Output via Discriminative Patch Representations","created":"2019-01-16","cited_by_count":150},{"id":"2007.09222","title":"Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation","created":"2020-07-17","cited_by_count":142},{"id":"1909.13589","title":"Domain Adaptation for Semantic Segmentation with Maximum Squares Loss","created":"2019-09-30","cited_by_count":138},{"id":"2003.12815","title":"Efficient Domain Generalization via Common-Specific Low-Rank Decomposition","created":"2020-03-28","cited_by_count":134},{"id":"1909.00589","title":"Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation","created":"2019-09-02","cited_by_count":126},{"id":"2003.08040","title":"Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation","created":"2020-03-18","cited_by_count":126},{"id":"1812.05040","title":"Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach","created":"2018-12-12","cited_by_count":119},{"id":"1704.08509","title":"No More Discrimination: Cross City Adaptation of Road Scene Segmenters","created":"2017-04-27","cited_by_count":111},{"id":"1904.12347","title":"Domain Agnostic Learning with Disentangled Representations","created":"2019-04-28","cited_by_count":108},{"id":"2001.03182","title":"CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency","created":"2020-01-09","cited_by_count":107},{"id":"1903.12212","title":"All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation","created":"2019-03-26","cited_by_count":104},{"id":"1908.09547","title":"Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach","created":"2019-08-26","cited_by_count":103},{"id":"1804.05827","title":"DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation","created":"2018-04-16","cited_by_count":101},{"id":"1808.01265","title":"Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding","created":"2018-08-03","cited_by_count":98},{"id":"1904.01886","title":"DADA: Depth-aware Domain Adaptation in Semantic Segmentation","created":"2019-04-03","cited_by_count":97},{"id":"1711.11556","title":"ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes","created":"2017-11-30","cited_by_count":95},{"id":"1612.04337","title":"Fast Patch-based Style Transfer of Arbitrary Style","created":"2016-12-13","cited_by_count":92},{"id":"2005.10876","title":"Unsupervised Domain Adaptation in Semantic Segmentation: a Review","created":"2020-05-21","cited_by_count":88},{"id":"1809.05375","title":"Style Augmentation: Data Augmentation via Style Randomization","created":"2018-09-14","cited_by_count":79},{"id":"1804.08286","title":"Fully Convolutional Adaptation Networks for Semantic Segmentation","created":"2018-04-23","cited_by_count":75},{"id":"1904.00876","title":"Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation","created":"2019-04-01","cited_by_count":74},{"id":"1910.12181","title":"Multi-source Domain Adaptation for Semantic Segmentation","created":"2019-10-27","cited_by_count":74},{"id":"2007.02424","title":"Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation","created":"2020-07-05","cited_by_count":70},{"id":"2004.04388","title":"Towards Inheritable Models for Open-Set Domain Adaptation","created":"2020-04-09","cited_by_count":64},{"id":"2004.06042","title":"Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation","created":"2020-04-13","cited_by_count":64},{"id":"2003.04614","title":"Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation","created":"2020-03-10","cited_by_count":62},{"id":"2004.04923","title":"Phase Consistent Ecological Domain Adaptation","created":"2020-04-10","cited_by_count":62},{"id":"2012.04828","title":"Two-phase Pseudo Label Densification for Self-training based Domain Adaptation","created":"2020-12-09","cited_by_count":60},{"id":"2011.00147","title":"Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation","created":"2020-10-31","cited_by_count":58},{"id":"1912.11164","title":"Unsupervised Scene Adaptation with Memory Regularization in vivo","created":"2019-12-24","cited_by_count":57},{"id":"2007.15176","title":"Domain Adaptive Semantic Segmentation Using Weak Labels","created":"2020-07-30","cited_by_count":56},{"id":"1803.01599","title":"AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation","created":"2018-03-05","cited_by_count":54},{"id":"2005.03697","title":"Source-Relaxed Domain Adaptation for Image Segmentation","created":"2020-05-07","cited_by_count":52},{"id":"1912.08954","title":"An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation","created":"2019-12-18","cited_by_count":48},{"id":"1904.06268","title":"ACE: Adapting to Changing Environments for Semantic Segmentation","created":"2019-04-12","cited_by_count":44},{"id":"2103.11169","title":"Your Classifier can Secretly Suffice Multi-Source Domain Adaptation","created":"2021-03-20","cited_by_count":42},{"id":"2007.14449","title":"Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation","created":"2020-07-28","cited_by_count":41},{"id":"2003.04010","title":"Context-Aware Domain Adaptation in Semantic Segmentation","created":"2020-03-09","cited_by_count":36},{"id":"2008.01389","title":"Class-Incremental Domain Adaptation","created":"2020-08-04","cited_by_count":36},{"id":"2007.06965","title":"Automated Synthetic-to-Real Generalization","created":"2020-07-14","cited_by_count":35},{"id":"1910.10563","title":"Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation","created":"2019-10-23","cited_by_count":32},{"id":"1809.00903","title":"Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation","created":"2018-09-04","cited_by_count":29},{"id":"2009.01166","title":"Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation","created":"2020-09-02","cited_by_count":25},{"id":"2011.12616","title":"Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings","created":"2020-11-25","cited_by_count":25},{"id":"1807.01028","title":"Kitting in the Wild through Online Domain Adaptation","created":"2018-07-03","cited_by_count":24},{"id":"2012.12545","title":"Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer","created":"2020-12-23","cited_by_count":24},{"id":"1908.03884","title":"UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation","created":"2019-08-11","cited_by_count":23},{"id":"2008.10464","title":"CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation","created":"2020-08-24","cited_by_count":23},{"id":"2006.06570","title":"Transferring and Regularizing Prediction for Semantic Segmentation","created":"2020-06-11","cited_by_count":17},{"id":"2009.08610","title":"Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation","created":"2020-09-18","cited_by_count":13},{"id":"2012.08226","title":"Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation","created":"2020-12-15","cited_by_count":7}],"next_cursor":null}