{"list":"other","total":62,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"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":"1802.03426","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","created":"2018-02-09","cited_by_count":2898},{"id":"1409.7495","title":"Unsupervised Domain Adaptation by Backpropagation","created":"2014-09-26","cited_by_count":1917},{"id":"1702.05464","title":"Adversarial Discriminative Domain Adaptation","created":"2017-02-17","cited_by_count":1311},{"id":"1706.07522","title":"Deep Hashing Network for Unsupervised Domain Adaptation","created":"2017-06-22","cited_by_count":1188},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"1712.02560","title":"Maximum Classifier Discrepancy for Unsupervised Domain Adaptation","created":"2017-12-07","cited_by_count":683},{"id":"1802.10349","title":"Learning to Adapt Structured Output Space for Semantic Segmentation","created":"2018-02-28","cited_by_count":584},{"id":"1606.09549","title":"Fully-Convolutional Siamese Networks for Object Tracking","created":"2016-06-30","cited_by_count":568},{"id":"1901.00976","title":"Contrastive Adaptation Network for Unsupervised Domain Adaptation","created":"2019-01-04","cited_by_count":407},{"id":"1708.08987","title":"Deep Learning for Medical Image Analysis","created":"2017-08-17","cited_by_count":401},{"id":"1602.04433","title":"Unsupervised Domain Adaptation with Residual Transfer Networks","created":"2016-02-14","cited_by_count":341},{"id":"1612.05424","title":"Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks","created":"2016-12-16","cited_by_count":308},{"id":"1906.00817","title":"Zero-Shot Semantic Segmentation","created":"2019-06-03","cited_by_count":245},{"id":"1903.04064","title":"Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation","created":"2019-03-10","cited_by_count":235},{"id":"1902.00434","title":"Generalized Sliced Wasserstein Distances","created":"2019-02-01","cited_by_count":208},{"id":"1705.04058","title":"Neural Style Transfer: A Review","created":"2017-05-11","cited_by_count":199},{"id":"1506.05439","title":"Learning with a Wasserstein Loss","created":"2015-06-17","cited_by_count":196},{"id":"2102.06191","title":"Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals","created":"2021-02-11","cited_by_count":190},{"id":"1704.01705","title":"Generate To Adapt: Aligning Domains using Generative Adversarial Networks","created":"2017-04-06","cited_by_count":183},{"id":"1811.08585","title":"Progressive Feature Alignment for Unsupervised Domain Adaptation","created":"2018-11-21","cited_by_count":183},{"id":"2103.16372","title":"Source-Free Domain Adaptation for Semantic Segmentation","created":"2021-03-30","cited_by_count":168},{"id":"1607.03516","title":"Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation","created":"2016-07-12","cited_by_count":163},{"id":"1705.00609","title":"Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation","created":"2017-05-01","cited_by_count":151},{"id":"1612.01939","title":"Correlation Alignment for Unsupervised Domain Adaptation","created":"2016-12-06","cited_by_count":147},{"id":"1904.11227","title":"Transferrable Prototypical Networks for Unsupervised Domain Adaptation","created":"2019-04-25","cited_by_count":141},{"id":"2002.02255","title":"Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation","created":"2020-02-06","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":"1612.08894","title":"Unsupervised domain adaptation in brain lesion segmentation with adversarial networks","created":"2016-12-28","cited_by_count":125},{"id":"1901.08211","title":"Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation","created":"2019-01-24","cited_by_count":121},{"id":"1703.10631","title":"Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention","created":"2017-03-30","cited_by_count":107},{"id":"1610.04420","title":"Theoretical Analysis of Domain Adaptation with Optimal Transport","created":"2016-10-14","cited_by_count":105},{"id":"1707.09465","title":"Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes","created":"2017-07-29","cited_by_count":105},{"id":"1804.05827","title":"DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation","created":"2018-04-16","cited_by_count":101},{"id":"1904.06346","title":"Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation","created":"2019-04-12","cited_by_count":88},{"id":"1809.06222","title":"GANs for Medical Image Analysis","created":"2018-09-13","cited_by_count":81},{"id":"2108.11249","title":"Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation","created":"2021-08-25","cited_by_count":81},{"id":"1902.00749","title":"Online Multi-Object Tracking with Dual Matching Attention Networks","created":"2019-02-02","cited_by_count":77},{"id":"1810.06498","title":"SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth","created":"2018-10-15","cited_by_count":68},{"id":"2005.03697","title":"Source-Relaxed Domain Adaptation for Image Segmentation","created":"2020-05-07","cited_by_count":52},{"id":"1806.07201","title":"Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation","created":"2018-06-11","cited_by_count":49},{"id":"2108.03152","title":"Source-Free Domain Adaptation for Image Segmentation","created":"2021-08-06","cited_by_count":45},{"id":"2009.12518","title":"Unsupervised Model Adaptation for Continual Semantic Segmentation","created":"2020-09-26","cited_by_count":42},{"id":"2101.06853","title":"Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation","created":"2021-01-18","cited_by_count":39},{"id":"1712.07695","title":"Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth","created":"2017-12-20","cited_by_count":30},{"id":"1803.10158","title":"End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners","created":"2018-03-27","cited_by_count":27},{"id":"1906.03744","title":"Generative Continual Concept Learning","created":"2019-06-10","cited_by_count":26},{"id":"2103.03781","title":"Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation","created":"2021-03-05","cited_by_count":24},{"id":"1806.00600","title":"Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation","created":"2018-06-02","cited_by_count":21},{"id":"2007.00197","title":"Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions","created":"2020-07-01","cited_by_count":21},{"id":"1710.03850","title":"Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer","created":"2017-10-10","cited_by_count":19},{"id":"2110.04662","title":"Cognitively Inspired Learning of Incremental Drifting Concepts","created":"2021-10-09","cited_by_count":16},{"id":"1907.02271","title":"Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment","created":"2019-07-04","cited_by_count":12},{"id":"2101.00522","title":"Domain Adaptation for the Segmentation of Confidential Medical Images","created":"2021-01-02","cited_by_count":12},{"id":"2106.12124","title":"Secure Domain Adaptation with Multiple Sources","created":"2021-06-23","cited_by_count":12},{"id":"1906.10509","title":"Zero-Shot Image Classification Using Coupled Dictionary Embedding","created":"2019-06-10","cited_by_count":10},{"id":"1904.10678","title":"Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification","created":"2019-04-24","cited_by_count":8},{"id":"2209.14644","title":"Increasing Model Generalizability for Unsupervised Domain Adaptation","created":"2022-09-29","cited_by_count":1}],"next_cursor":null}