{"list":"other","total":62,"rows":[{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1608.06993","title":"Densely Connected Convolutional Networks","created":"2016-08-25","cited_by_count":6720},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"1611.07004","title":"Image-to-Image Translation with Conditional Adversarial Networks","created":"2016-11-21","cited_by_count":4527},{"id":"1502.01852","title":"Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification","created":"2015-02-06","cited_by_count":3611},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"2003.04297","title":"Improved Baselines with Momentum Contrastive Learning","created":"2020-03-09","cited_by_count":2287},{"id":"1411.1784","title":"Conditional Generative Adversarial Nets","created":"2014-11-06","cited_by_count":2162},{"id":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"1703.06211","title":"Deformable Convolutional Networks","created":"2017-03-17","cited_by_count":1488},{"id":"2006.10029","title":"Big Self-Supervised Models are Strong Semi-Supervised Learners","created":"2020-06-17","cited_by_count":1380},{"id":"1808.06670","title":"Learning deep representations by mutual information estimation and maximization","created":"2018-08-20","cited_by_count":1273},{"id":"1805.08318","title":"Self-Attention Generative Adversarial Networks","created":"2018-05-21","cited_by_count":809},{"id":"1804.04732","title":"Multimodal Unsupervised Image-to-Image Translation","created":"2018-04-12","cited_by_count":795},{"id":"1801.04406","title":"Which Training Methods for GANs do actually Converge?","created":"2018-01-13","cited_by_count":679},{"id":"1905.09272","title":"Data-Efficient Image Recognition with Contrastive Predictive Coding","created":"2019-05-22","cited_by_count":673},{"id":"1811.11168","title":"Deformable ConvNets v2: More Deformable, Better Results","created":"2018-11-27","cited_by_count":670},{"id":"2007.15651","title":"Contrastive Learning for Unpaired Image-to-Image Translation","created":"2020-07-30","cited_by_count":639},{"id":"1808.07371","title":"Everybody Dance Now","created":"2018-08-22","cited_by_count":315},{"id":"1704.02510","title":"DualGAN: Unsupervised Dual Learning for Image-to-Image Translation","created":"2017-04-08","cited_by_count":310},{"id":"1612.05424","title":"Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks","created":"2016-12-16","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":"1703.05192","title":"Learning to Discover Cross-Domain Relations with Generative Adversarial Networks","created":"2017-03-15","cited_by_count":278},{"id":"1711.08229","title":"Integral Human Pose Regression","created":"2017-11-22","cited_by_count":256},{"id":"1812.02898","title":"TDAN: Temporally Deformable Alignment Network for Video Super-Resolution","created":"2018-12-07","cited_by_count":226},{"id":"1905.01723","title":"Few-Shot Unsupervised Image-to-Image Translation","created":"2019-05-05","cited_by_count":222},{"id":"1606.07536","title":"Coupled Generative Adversarial Networks","created":"2016-06-24","cited_by_count":216},{"id":"1611.02200","title":"Unsupervised Cross-Domain Image Generation","created":"2016-11-07","cited_by_count":125},{"id":"1611.09326","title":"The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation","created":"2016-11-28","cited_by_count":122},{"id":"1712.00516","title":"Multi-Content GAN for Few-Shot Font Style Transfer","created":"2017-12-01","cited_by_count":100},{"id":"1706.00826","title":"One-Sided Unsupervised Domain Mapping","created":"2017-06-02","cited_by_count":91},{"id":"2104.03064","title":"DG-Font: Deformable Generative Networks for Unsupervised Font Generation","created":"2021-04-07","cited_by_count":70},{"id":"2003.10557","title":"ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation","created":"2020-03-23","cited_by_count":69},{"id":"1711.06454","title":"Separating Style and Content for Generalized Style Transfer","created":"2017-11-17","cited_by_count":64},{"id":"1703.06953","title":"Multi-style Generative Network for Real-time Transfer","created":"2017-03-20","cited_by_count":61},{"id":"1904.05873","title":"An Empirical Study of Spatial Attention Mechanisms in Deep Networks","created":"2019-04-11","cited_by_count":58},{"id":"1803.05549","title":"Object Detection in Video with Spatiotemporal Sampling Networks","created":"2018-03-15","cited_by_count":57},{"id":"2006.06500","title":"Rethinking the Truly Unsupervised Image-to-Image Translation","created":"2020-06-11","cited_by_count":56},{"id":"2009.11042","title":"Few-shot Font Generation with Localized Style Representations and Factorization","created":"2020-09-23","cited_by_count":47},{"id":"2104.00887","title":"Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts","created":"2021-04-02","cited_by_count":46},{"id":"1911.09737","title":"Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks","created":"2019-11-21","cited_by_count":45},{"id":"2005.10510","title":"Few-shot Compositional Font Generation with Dual Memory","created":"2020-05-21","cited_by_count":44},{"id":"1904.09571","title":"TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation","created":"2019-04-21","cited_by_count":40},{"id":"1803.06798","title":"Attention-GAN for Object Transfiguration in Wild Images","created":"2018-03-19","cited_by_count":32},{"id":"2103.16748","title":"Dual Contrastive Loss and Attention for GANs","created":"2021-03-31","cited_by_count":30},{"id":"1706.08789","title":"Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis","created":"2017-06-27","cited_by_count":29},{"id":"1712.06424","title":"Learning to Write Stylized Chinese Characters by Reading a Handful of Examples","created":"2017-12-06","cited_by_count":28},{"id":"2005.12500","title":"CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator","created":"2020-05-26","cited_by_count":28},{"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":"1801.08624","title":"Generating Handwritten Chinese Characters using CycleGAN","created":"2018-01-25","cited_by_count":21},{"id":"1808.04325","title":"Improving Shape Deformation in Unsupervised Image-to-Image Translation","created":"2018-08-13","cited_by_count":19},{"id":"1904.02296","title":"Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer","created":"2019-04-04","cited_by_count":17},{"id":"1603.02003","title":"From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators","created":"2016-03-07","cited_by_count":14},{"id":"1702.08896","title":"Hierarchical Implicit Models and Likelihood-Free Variational Inference","created":"2017-02-28","cited_by_count":13},{"id":"1811.08106","title":"Pyramid Embedded Generative Adversarial Network for Automated Font Generation","created":"2018-11-20","cited_by_count":11},{"id":"2007.10618","title":"Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder","created":"2020-07-21","cited_by_count":10},{"id":"1909.08542","title":"Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation","created":"2019-09-18","cited_by_count":4},{"id":"2103.02264","title":"ID-Unet: Iterative Soft and Hard Deformation for View Synthesis","created":"2021-03-03","cited_by_count":2}],"next_cursor":null}