{"list":"other","total":52,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1505.07818","title":"Domain-Adversarial Training of Neural Networks","created":"2015-05-28","cited_by_count":3044},{"id":"1512.03012","title":"ShapeNet: An Information-Rich 3D Model Repository","created":"2015-12-09","cited_by_count":2897},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"1511.00561","title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","created":"2015-11-02","cited_by_count":1487},{"id":"1702.05464","title":"Adversarial Discriminative Domain Adaptation","created":"2017-02-17","cited_by_count":1311},{"id":"1607.01719","title":"Deep CORAL: Correlation Alignment for Deep Domain Adaptation","created":"2016-07-06","cited_by_count":1200},{"id":"1711.10925","title":"Deep Image Prior","created":"2017-11-29","cited_by_count":1098},{"id":"1612.00603","title":"A Point Set Generation Network for 3D Object Reconstruction from a Single Image","created":"2016-12-02","cited_by_count":979},{"id":"2007.08501","title":"Accelerating 3D Deep Learning with PyTorch3D","created":"2020-07-16","cited_by_count":784},{"id":"1711.00199","title":"PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes","created":"2017-11-01","cited_by_count":775},{"id":"1912.07372","title":"Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision","created":"2019-12-16","cited_by_count":700},{"id":"1804.01654","title":"Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images","created":"2018-04-05","cited_by_count":651},{"id":"1605.06636","title":"Deep Transfer Learning with Joint Adaptation Networks","created":"2016-05-21","cited_by_count":612},{"id":"1604.00449","title":"3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction","created":"2016-04-02","cited_by_count":588},{"id":"1802.05384","title":"AtlasNet: A Papier-M\\^ach\\'e Approach to Learning 3D Surface Generation","created":"2018-02-15","cited_by_count":539},{"id":"1711.07566","title":"Neural 3D Mesh Renderer","created":"2017-11-20","cited_by_count":437},{"id":"1904.01786","title":"Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning","created":"2019-04-03","cited_by_count":420},{"id":"1905.10711","title":"DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction","created":"2019-05-26","cited_by_count":333},{"id":"1803.07549","title":"Learning Category-Specific Mesh Reconstruction from Image Collections","created":"2018-03-20","cited_by_count":317},{"id":"1905.03678","title":"What Do Single-view 3D Reconstruction Networks Learn?","created":"2019-05-09","cited_by_count":260},{"id":"1804.04610","title":"Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling","created":"2018-04-12","cited_by_count":218},{"id":"1701.05498","title":"T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects","created":"2017-01-19","cited_by_count":210},{"id":"1711.08848","title":"Real-Time Seamless Single Shot 6D Object Pose Prediction","created":"2017-11-24","cited_by_count":210},{"id":"1703.09438","title":"Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs","created":"2017-03-28","cited_by_count":189},{"id":"1911.11130","title":"Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild","created":"2019-11-25","cited_by_count":180},{"id":"1901.11153","title":"Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images","created":"2019-01-31","cited_by_count":164},{"id":"1706.07036","title":"Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction","created":"2017-06-21","cited_by_count":133},{"id":"2003.06473","title":"Self-supervised Single-view 3D Reconstruction via Semantic Consistency","created":"2020-03-13","cited_by_count":127},{"id":"2001.10331","title":"f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation","created":"2020-01-28","cited_by_count":117},{"id":"2006.03997","title":"MeshSDF: Differentiable Iso-Surface Extraction","created":"2020-06-06","cited_by_count":112},{"id":"1711.03129","title":"MarrNet: 3D Shape Reconstruction via 2.5D Sketches","created":"2017-11-08","cited_by_count":108},{"id":"1908.07201","title":"Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images \"In the Wild\"","created":"2019-08-20","cited_by_count":106},{"id":"1812.02541","title":"Segmentation-driven 6D Object Pose Estimation","created":"2018-12-06","cited_by_count":104},{"id":"1712.01337","title":"Self-supervised Learning of Motion Capture","created":"2017-12-04","cited_by_count":97},{"id":"2006.10726","title":"Tent: Fully Test-time Adaptation by Entropy Minimization","created":"2020-06-18","cited_by_count":69},{"id":"1602.02481","title":"A Large Dataset of Object Scans","created":"2016-02-08","cited_by_count":64},{"id":"2012.03196","title":"Online Adaptation for Consistent Mesh Reconstruction in the Wild","created":"2020-12-06","cited_by_count":51},{"id":"1712.01537","title":"O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis","created":"2017-12-05","cited_by_count":47},{"id":"2005.11084","title":"Point2Mesh: A Self-Prior for Deformable Meshes","created":"2020-05-22","cited_by_count":41},{"id":"2005.11621","title":"ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups","created":"2020-05-23","cited_by_count":38},{"id":"1903.08205","title":"Interactive segmentation of medical images through fully convolutional neural networks","created":"2019-03-19","cited_by_count":29},{"id":"1903.08642","title":"Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction","created":"2019-03-20","cited_by_count":28},{"id":"1909.01205","title":"Few-Shot Generalization for Single-Image 3D Reconstruction via Priors","created":"2019-09-03","cited_by_count":25},{"id":"1910.06511","title":"PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models","created":"2019-10-15","cited_by_count":20},{"id":"2105.03211","title":"NeRD: Neural 3D Reflection Symmetry Detector","created":"2021-04-19","cited_by_count":18},{"id":"1812.01742","title":"Domain-Adaptive Single-View 3D Reconstruction","created":"2018-12-04","cited_by_count":12},{"id":"2004.06302","title":"Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors","created":"2020-04-14","cited_by_count":10},{"id":"2006.10042","title":"Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction","created":"2020-06-17","cited_by_count":4}],"next_cursor":null}