{"list":"other","total":76,"rows":[{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1502.03167","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","created":"2015-02-11","cited_by_count":7005},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"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":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3223},{"id":"2105.15203","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers","created":"2021-05-31","cited_by_count":2940},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1612.01105","title":"Pyramid Scene Parsing Network","created":"2016-12-04","cited_by_count":2479},{"id":"1706.05587","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","created":"2017-06-17","cited_by_count":2161},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1703.06907","title":"Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World","created":"2017-03-20","cited_by_count":1498},{"id":"1511.00561","title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","created":"2015-11-02","cited_by_count":1487},{"id":"2012.15840","title":"Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers","created":"2020-12-31","cited_by_count":1369},{"id":"1802.07569","title":"Continual Lifelong Learning with Neural Networks: A Review","created":"2018-02-21","cited_by_count":1330},{"id":"1903.07291","title":"Semantic Image Synthesis with Spatially-Adaptive Normalization","created":"2019-03-18","cited_by_count":1299},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"2007.01434","title":"In Search of Lost Domain Generalization","created":"2020-07-02","cited_by_count":1054},{"id":"1809.02983","title":"Dual Attention Network for Scene Segmentation","created":"2018-09-09","cited_by_count":1003},{"id":"2105.05633","title":"Segmenter: Transformer for Semantic Segmentation","created":"2021-05-12","cited_by_count":855},{"id":"1608.02192","title":"Playing for Data: Ground Truth from Computer Games","created":"2016-08-07","cited_by_count":818},{"id":"2103.03097","title":"Generalizing to Unseen Domains: A Survey on Domain Generalization","created":"2021-03-02","cited_by_count":766},{"id":"2103.02503","title":"Domain Generalization: A Survey","created":"2021-03-03","cited_by_count":764},{"id":"1802.03601","title":"Deep Visual Domain Adaptation: A Survey","created":"2018-02-10","cited_by_count":635},{"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":"1412.7062","title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs","created":"2014-12-22","cited_by_count":554},{"id":"1805.12018","title":"Generalizing to Unseen Domains via Adversarial Data Augmentation","created":"2018-05-30","cited_by_count":451},{"id":"2006.16971","title":"Improving robustness against common corruptions by covariate shift adaptation","created":"2020-06-30","cited_by_count":431},{"id":"1505.04366","title":"Learning Deconvolution Network for Semantic Segmentation","created":"2015-05-17","cited_by_count":365},{"id":"1904.10620","title":"Bidirectional Learning for Domain Adaptation of Semantic Segmentation","created":"2019-04-24","cited_by_count":308},{"id":"1612.07828","title":"Learning from Simulated and Unsupervised Images through Adversarial Training","created":"2016-12-22","cited_by_count":288},{"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":"1502.03240","title":"Conditional Random Fields as Recurrent Neural Networks","created":"2015-02-11","cited_by_count":214},{"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":"1712.00479","title":"Image to Image Translation for Domain Adaptation","created":"2017-12-01","cited_by_count":171},{"id":"1511.03339","title":"Attention to Scale: Scale-aware Semantic Image Segmentation","created":"2015-11-10","cited_by_count":169},{"id":"1703.07511","title":"Deep Photo Style Transfer","created":"2017-03-22","cited_by_count":168},{"id":"1903.09760","title":"Photorealistic Style Transfer via Wavelet Transforms","created":"2019-03-23","cited_by_count":166},{"id":"1805.10180","title":"Pyramid Attention Network for Semantic Segmentation","created":"2018-05-25","cited_by_count":149},{"id":"1802.06474","title":"A Closed-form Solution to Photorealistic Image Stylization","created":"2018-02-19","cited_by_count":133},{"id":"1704.08509","title":"No More Discrimination: Cross City Adaptation of Road Scene Segmenters","created":"2017-04-27","cited_by_count":111},{"id":"1706.09364","title":"Online Adaptation of Convolutional Neural Networks for Video Object Segmentation","created":"2017-06-28","cited_by_count":109},{"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":"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":"2012.14176","title":"Deep Visual Domain Adaptation","created":"2020-12-28","cited_by_count":91},{"id":"2005.10876","title":"Unsupervised Domain Adaptation in Semantic Segmentation: a Review","created":"2020-05-21","cited_by_count":88},{"id":"1810.05424","title":"Real-time self-adaptive deep stereo","created":"2018-10-12","cited_by_count":80},{"id":"2105.04619","title":"Enhancing Photorealism Enhancement","created":"2021-05-10","cited_by_count":74},{"id":"2004.04923","title":"Phase Consistent Ecological Domain Adaptation","created":"2020-04-10","cited_by_count":62},{"id":"2012.04324","title":"Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning","created":"2020-12-08","cited_by_count":55},{"id":"1712.07436","title":"Incremental Adversarial Domain Adaptation for Continually Changing Environments","created":"2017-12-20","cited_by_count":52},{"id":"2101.00588","title":"Style Normalization and Restitution for Domain Generalization and Adaptation","created":"2021-01-03","cited_by_count":46},{"id":"1603.07063","title":"Semantic Object Parsing with Graph LSTM","created":"2016-03-23","cited_by_count":44},{"id":"1904.06268","title":"ACE: Adapting to Changing Environments for Semantic Segmentation","created":"2019-04-12","cited_by_count":44},{"id":"1904.02957","title":"Learning to Adapt for Stereo","created":"2019-04-05","cited_by_count":42},{"id":"1909.08223","title":"Diversified Arbitrary Style Transfer via Deep Feature Perturbation","created":"2019-09-18","cited_by_count":42},{"id":"1805.11145","title":"Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency","created":"2018-05-28","cited_by_count":41},{"id":"1912.02398","title":"Ultrafast Photorealistic Style Transfer via Neural Architecture Search","created":"2019-12-05","cited_by_count":39},{"id":"1603.08358","title":"Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs","created":"2016-03-28","cited_by_count":27},{"id":"1807.04409","title":"Sem-GAN: Semantically-Consistent Image-to-Image Translation","created":"2018-07-12","cited_by_count":26},{"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":"1503.02351","title":"Fully Connected Deep Structured Networks","created":"2015-03-09","cited_by_count":24},{"id":"1807.01028","title":"Kitting in the Wild through Online Domain Adaptation","created":"2018-07-03","cited_by_count":24},{"id":"2006.06570","title":"Transferring and Regularizing Prediction for Semantic Segmentation","created":"2020-06-11","cited_by_count":17},{"id":"1907.11004","title":"Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation","created":"2019-07-25","cited_by_count":10},{"id":"1904.08462","title":"Online Adaptation through Meta-Learning for Stereo Depth Estimation","created":"2019-04-17","cited_by_count":7},{"id":"1508.00776","title":"Online Domain Adaptation for Multi-Object Tracking","created":"2015-08-04","cited_by_count":5},{"id":"1812.11139","title":"Artistic Object Recognition by Unsupervised Style Adaptation","created":"2018-12-28","cited_by_count":5},{"id":"1406.4296","title":"Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams","created":"2014-06-17","cited_by_count":1}],"next_cursor":null}