{"list":"other","total":57,"rows":[{"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":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"1409.7495","title":"Unsupervised Domain Adaptation by Backpropagation","created":"2014-09-26","cited_by_count":1917},{"id":"2103.13413","title":"Vision Transformers for Dense Prediction","created":"2021-03-24","cited_by_count":1803},{"id":"1907.01341","title":"Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer","created":"2019-07-02","cited_by_count":1495},{"id":"1911.11763","title":"SuperGlue: Learning Feature Matching with Graph Neural Networks","created":"2019-11-26","cited_by_count":1443},{"id":"1709.06158","title":"Matterport3D: Learning from RGB-D Data in Indoor Environments","created":"2017-09-18","cited_by_count":1376},{"id":"1712.07629","title":"SuperPoint: Self-Supervised Interest Point Detection and Description","created":"2017-12-20","cited_by_count":1320},{"id":"1406.2283","title":"Depth Map Prediction from a Single Image using a Multi-Scale Deep Network","created":"2014-06-09","cited_by_count":1274},{"id":"1904.01201","title":"Habitat: A Platform for Embodied AI Research","created":"2019-04-02","cited_by_count":1191},{"id":"1511.07247","title":"NetVLAD: CNN architecture for weakly supervised place recognition","created":"2015-11-23","cited_by_count":941},{"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":"1609.03677","title":"Unsupervised Monocular Depth Estimation with Left-Right Consistency","created":"2016-09-13","cited_by_count":820},{"id":"2007.08501","title":"Accelerating 3D Deep Learning with PyTorch3D","created":"2020-07-16","cited_by_count":784},{"id":"1804.00607","title":"MegaDepth: Learning Single-View Depth Prediction from Internet Photos","created":"2018-04-02","cited_by_count":737},{"id":"1812.03506","title":"From Coarse to Fine: Robust Hierarchical Localization at Large Scale","created":"2018-12-09","cited_by_count":559},{"id":"1808.10654","title":"Gibson Env: Real-World Perception for Embodied Agents","created":"2018-08-31","cited_by_count":481},{"id":"2006.16971","title":"Improving robustness against common corruptions by covariate shift adaptation","created":"2020-06-30","cited_by_count":431},{"id":"2007.00643","title":"Object Goal Navigation using Goal-Oriented Semantic Exploration","created":"2020-07-01","cited_by_count":429},{"id":"1702.01105","title":"Joint 2D-3D-Semantic Data for Indoor Scene Understanding","created":"2017-02-03","cited_by_count":406},{"id":"2004.05155","title":"Learning to Explore using Active Neural SLAM","created":"2020-04-10","cited_by_count":316},{"id":"2209.07522","title":"Test-Time Training with Masked Autoencoders","created":"2022-09-15","cited_by_count":212},{"id":"1703.07511","title":"Deep Photo Style Transfer","created":"2017-03-22","cited_by_count":168},{"id":"2007.06936","title":"Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance","created":"2020-07-14","cited_by_count":148},{"id":"2007.04309","title":"Self-Supervised Policy Adaptation during Deployment","created":"2020-07-08","cited_by_count":123},{"id":"2210.05494","title":"Map-free Visual Relocalization: Metric Pose Relative to a Single Image","created":"2022-10-11","cited_by_count":114},{"id":"1901.03861","title":"HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation","created":"2019-01-12","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":"2008.09285","title":"Occupancy Anticipation for Efficient Exploration and Navigation","created":"2020-08-21","cited_by_count":106},{"id":"1807.09620","title":"OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas","created":"2018-07-25","cited_by_count":99},{"id":"1909.06216","title":"Hierarchical Scene Coordinate Classification and Regression for Visual Localization","created":"2019-09-13","cited_by_count":93},{"id":"2102.03550","title":"UniFuse: Unidirectional Fusion for 360$^{\\circ}$ Panorama Depth Estimation","created":"2021-02-06","cited_by_count":92},{"id":"2012.11460","title":"SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation","created":"2020-12-21","cited_by_count":78},{"id":"1808.01454","title":"T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks","created":"2018-08-04","cited_by_count":70},{"id":"2106.14999","title":"Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation","created":"2021-06-28","cited_by_count":68},{"id":"1903.03215","title":"Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss","created":"2019-03-07","cited_by_count":67},{"id":"2203.00838","title":"OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion","created":"2022-03-02","cited_by_count":61},{"id":"2111.15669","title":"360MonoDepth: High-Resolution 360{\\deg} Monocular Depth Estimation","created":"2021-11-30","cited_by_count":60},{"id":"1909.08112","title":"Spherical View Synthesis for Self-Supervised 360 Depth Estimation","created":"2019-09-17","cited_by_count":51},{"id":"2112.14440","title":"ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation","created":"2021-12-29","cited_by_count":39},{"id":"2109.02749","title":"Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation","created":"2021-09-06","cited_by_count":37},{"id":"2207.09763","title":"GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation","created":"2022-07-20","cited_by_count":35},{"id":"2009.01579","title":"DESC: Domain Adaptation for Depth Estimation via Semantic Consistency","created":"2020-09-03","cited_by_count":25},{"id":"2211.11432","title":"MATE: Masked Autoencoders are Online 3D Test-Time Learners","created":"2022-11-21","cited_by_count":23},{"id":"2108.06545","title":"PICCOLO: Point Cloud-Centric Omnidirectional Localization","created":"2021-08-14","cited_by_count":14},{"id":"2112.06782","title":"GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network","created":"2021-12-13","cited_by_count":12},{"id":"2210.01595","title":"FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions","created":"2022-10-04","cited_by_count":11},{"id":"2210.10414","title":"High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration","created":"2022-10-19","cited_by_count":11},{"id":"2101.01322","title":"Self-supervised Visual-LiDAR Odometry with Flip Consistency","created":"2021-01-05","cited_by_count":9},{"id":"2105.09847","title":"M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments","created":"2021-05-20","cited_by_count":9},{"id":"2106.02594","title":"Self-Supervised Learning of Domain Invariant Features for Depth Estimation","created":"2021-06-04","cited_by_count":9},{"id":"2208.00160","title":"Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation","created":"2022-07-30","cited_by_count":9},{"id":"2209.09231","title":"3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling","created":"2022-09-19","cited_by_count":6},{"id":"2110.07184","title":"Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency","created":"2021-10-14","cited_by_count":3},{"id":"2211.15992","title":"MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents","created":"2022-11-29","cited_by_count":3},{"id":"2203.16057","title":"Self-supervised 360$^{\\circ}$ Room Layout Estimation","created":"2022-03-30","cited_by_count":2}],"next_cursor":null}