{"list":"other","total":86,"rows":[{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1409.0575","title":"ImageNet Large Scale Visual Recognition Challenge","created":"2014-09-01","cited_by_count":8498},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"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":"1812.11788","title":"PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation","created":"2018-12-31","cited_by_count":385},{"id":"2012.05877","title":"INeRF: Inverting Neural Radiance Fields for Pose Estimation","created":"2020-12-10","cited_by_count":382},{"id":"1901.04780","title":"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion","created":"2019-01-15","cited_by_count":355},{"id":"2008.08465","title":"CosyPose: Consistent multi-view multi-object 6D pose estimation","created":"2020-08-19","cited_by_count":287},{"id":"1804.00175","title":"DeepIM: Deep Iterative Matching for 6D Pose Estimation","created":"2018-03-31","cited_by_count":283},{"id":"1808.08319","title":"BOP: Benchmark for 6D Object Pose Estimation","created":"2018-08-24","cited_by_count":254},{"id":"1711.10006","title":"SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again","created":"2017-11-27","cited_by_count":243},{"id":"1703.10896","title":"BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth","created":"2017-03-31","cited_by_count":225},{"id":"1908.07433","title":"Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation","created":"2019-08-20","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":"1902.11020","title":"DPOD: 6D Pose Object Detector and Refiner","created":"2019-02-28","cited_by_count":189},{"id":"2002.12212","title":"Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image","created":"2020-02-27","cited_by_count":172},{"id":"1902.01275","title":"Implicit 3D Orientation Learning for 6D Object Detection from RGB Images","created":"2019-02-04","cited_by_count":170},{"id":"2205.12257","title":"OnePose: One-Shot Object Pose Estimation without CAD Models","created":"2022-05-24","cited_by_count":157},{"id":"2004.00605","title":"EPOS: Estimating 6D Pose of Objects with Symmetries","created":"2020-04-01","cited_by_count":148},{"id":"2102.12145","title":"GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator","created":"2021-02-24","cited_by_count":148},{"id":"1806.08756","title":"Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation","created":"2018-06-22","cited_by_count":142},{"id":"2011.07215","title":"SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation","created":"2020-11-14","cited_by_count":121},{"id":"2204.10776","title":"Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images","created":"2022-04-22","cited_by_count":121},{"id":"2110.14217","title":"Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects","created":"2021-10-27","cited_by_count":119},{"id":"2203.09418","title":"ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation","created":"2022-03-17","cited_by_count":116},{"id":"1904.03167","title":"HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects","created":"2019-04-05","cited_by_count":110},{"id":"2001.01869","title":"HybridPose: 6D Object Pose Estimation under Hybrid Representations","created":"2020-01-07","cited_by_count":107},{"id":"1812.02541","title":"Segmentation-driven 6D Object Pose Estimation","created":"2018-12-06","cited_by_count":104},{"id":"2008.08145","title":"Category Level Object Pose Estimation via Neural Analysis-by-Synthesis","created":"2020-08-18","cited_by_count":100},{"id":"2111.13489","title":"SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings","created":"2021-11-26","cited_by_count":95},{"id":"2205.04382","title":"FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects","created":"2022-05-09","cited_by_count":91},{"id":"1911.08324","title":"Single-Stage 6D Object Pose Estimation","created":"2019-11-19","cited_by_count":88},{"id":"2108.08367","title":"SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation","created":"2021-08-18","cited_by_count":88},{"id":"2203.14628","title":"FS6D: Few-Shot 6D Pose Estimation of Novel Objects","created":"2022-03-28","cited_by_count":81},{"id":"2203.15533","title":"OSOP: A Multi-Stage One Shot Object Pose Estimation Framework","created":"2022-03-29","cited_by_count":81},{"id":"1512.07506","title":"Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd","created":"2015-12-23","cited_by_count":79},{"id":"2004.06468","title":"Self6D: Self-Supervised Monocular 6D Object Pose Estimation","created":"2020-04-14","cited_by_count":79},{"id":"1912.02805","title":"KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects","created":"2019-12-05","cited_by_count":75},{"id":"1804.03959","title":"Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation","created":"2018-04-11","cited_by_count":74},{"id":"1812.00287","title":"Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data","created":"2018-12-01","cited_by_count":68},{"id":"2104.00633","title":"RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering","created":"2021-04-01","cited_by_count":63},{"id":"1502.05908","title":"Learning Descriptors for Object Recognition and 3D Pose Estimation","created":"2015-02-20","cited_by_count":60},{"id":"2203.04802","title":"NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation","created":"2022-03-09","cited_by_count":58},{"id":"2204.03635","title":"Zero-Shot Category-Level Object Pose Estimation","created":"2022-04-07","cited_by_count":57},{"id":"2203.17234","title":"Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions","created":"2022-03-31","cited_by_count":54},{"id":"2204.12516","title":"Coupled Iterative Refinement for 6D Multi-Object Pose Estimation","created":"2022-04-26","cited_by_count":48},{"id":"2203.03890","title":"ClearPose: Large-scale Transparent Object Dataset and Benchmark","created":"2022-03-08","cited_by_count":46},{"id":"2109.06161","title":"Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image","created":"2021-09-13","cited_by_count":42},{"id":"2203.10339","title":"Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation","created":"2022-03-19","cited_by_count":34},{"id":"2203.09836","title":"Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation","created":"2022-03-18","cited_by_count":32},{"id":"2207.02805","title":"DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation","created":"2022-07-06","cited_by_count":32},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31},{"id":"2204.01586","title":"Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image","created":"2022-04-04","cited_by_count":30},{"id":"2104.13526","title":"ZePHyR: Zero-shot Pose Hypothesis Rating","created":"2021-04-28","cited_by_count":26},{"id":"1912.12125","title":"Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking","created":"2019-12-06","cited_by_count":25},{"id":"2206.08927","title":"DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning","created":"2022-06-17","cited_by_count":25},{"id":"2103.15231","title":"ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning","created":"2021-03-28","cited_by_count":23},{"id":"2209.05624","title":"Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features","created":"2022-09-12","cited_by_count":23},{"id":"2208.00113","title":"Neural Correspondence Field for Object Pose Estimation","created":"2022-07-30","cited_by_count":21},{"id":"2107.11011","title":"VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data","created":"2021-07-23","cited_by_count":19},{"id":"2001.10609","title":"A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators","created":"2020-01-28","cited_by_count":18},{"id":"2011.07748","title":"Fast Uncertainty Quantification for Deep Object Pose Estimation","created":"2020-11-16","cited_by_count":18},{"id":"2211.01644","title":"StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS","created":"2022-11-03","cited_by_count":18},{"id":"2102.09334","title":"StablePose: Learning 6D Object Poses from Geometrically Stable Patches","created":"2021-02-18","cited_by_count":17},{"id":"2010.16117","title":"PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift","created":"2020-10-30","cited_by_count":14},{"id":"2102.12096","title":"PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation","created":"2021-02-24","cited_by_count":14},{"id":"2208.10002","title":"TransNet: Category-Level Transparent Object Pose Estimation","created":"2022-08-22","cited_by_count":13},{"id":"2107.12549","title":"DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation","created":"2021-07-27","cited_by_count":12},{"id":"2204.09983","title":"DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation","created":"2022-04-21","cited_by_count":12},{"id":"1802.08516","title":"6D Pose Estimation using an Improved Method based on Point Pair Features","created":"2018-02-23","cited_by_count":11},{"id":"2001.05279","title":"DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping","created":"2020-01-15","cited_by_count":11},{"id":"2203.02069","title":"Sim2Real Instance-Level Style Transfer for 6D Pose Estimation","created":"2022-03-03","cited_by_count":10},{"id":"2208.08807","title":"COPE: End-to-end trainable Constant Runtime Object Pose Estimation","created":"2022-08-18","cited_by_count":10},{"id":"2109.10127","title":"KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation","created":"2021-09-21","cited_by_count":9},{"id":"2112.08775","title":"DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation","created":"2021-12-16","cited_by_count":9},{"id":"2011.13209","title":"Handling Object Symmetries in CNN-based Pose Estimation","created":"2020-11-26","cited_by_count":8},{"id":"2201.07309","title":"OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation","created":"2022-01-18","cited_by_count":8},{"id":"2203.04424","title":"SLAM-Supported Self-Training for 6D Object Pose Estimation","created":"2022-03-08","cited_by_count":6},{"id":"1806.03891","title":"Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios","created":"2018-06-11","cited_by_count":5},{"id":"2008.08391","title":"Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations","created":"2020-08-19","cited_by_count":5},{"id":"2201.00239","title":"SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement","created":"2022-01-01","cited_by_count":4},{"id":"2110.14240","title":"3rd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition","created":"2021-10-27","cited_by_count":2},{"id":"2210.05318","title":"CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation","created":"2022-10-11","cited_by_count":2}],"next_cursor":null}