{"list":"other","total":62,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"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":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"2502.13923","title":"Qwen2.5-VL Technical Report","created":"2025-02-19","cited_by_count":5587},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"2004.11362","title":"Supervised Contrastive Learning","created":"2020-04-23","cited_by_count":2829},{"id":"1612.01105","title":"Pyramid Scene Parsing Network","created":"2016-12-04","cited_by_count":2479},{"id":"1506.01186","title":"Cyclical Learning Rates for Training Neural Networks","created":"2015-06-03","cited_by_count":629},{"id":"1901.02970","title":"Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation","created":"2019-01-09","cited_by_count":495},{"id":"1901.04780","title":"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion","created":"2019-01-15","cited_by_count":355},{"id":"1911.04231","title":"PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation","created":"2019-11-11","cited_by_count":204},{"id":"2007.08454","title":"Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation","created":"2020-07-16","cited_by_count":161},{"id":"2103.02242","title":"FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation","created":"2021-03-03","cited_by_count":144},{"id":"2208.11112","title":"DeepInteraction: 3D Object Detection via Modality Interaction","created":"2022-08-23","cited_by_count":125},{"id":"2103.07054","title":"FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism","created":"2021-03-12","cited_by_count":121},{"id":"2103.06526","title":"DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency","created":"2021-03-11","cited_by_count":103},{"id":"2008.08145","title":"Category Level Object Pose Estimation via Neural Analysis-by-Synthesis","created":"2020-08-18","cited_by_count":100},{"id":"2203.07918","title":"GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting","created":"2022-03-15","cited_by_count":94},{"id":"1912.11803","title":"SESS: Self-Ensembling Semi-Supervised 3D Object Detection","created":"2019-12-26","cited_by_count":89},{"id":"2108.00516","title":"BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models","created":"2021-08-01","cited_by_count":87},{"id":"2006.12052","title":"Few-shot 3D Point Cloud Semantic Segmentation","created":"2020-06-22","cited_by_count":77},{"id":"2207.05444","title":"Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks","created":"2022-07-12","cited_by_count":74},{"id":"2203.01929","title":"CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation","created":"2022-03-03","cited_by_count":70},{"id":"2108.08755","title":"Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks","created":"2021-08-19","cited_by_count":69},{"id":"2206.15436","title":"Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset","created":"2022-06-30","cited_by_count":59},{"id":"2106.14193","title":"SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation","created":"2021-06-27","cited_by_count":53},{"id":"2212.10428","title":"HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","created":"2022-12-20","cited_by_count":53},{"id":"2311.11125","title":"SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation","created":"2023-11-18","cited_by_count":53},{"id":"2406.04316","title":"Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking","created":"2024-06-06","cited_by_count":50},{"id":"2307.13537","title":"Spectrum-guided Multi-granularity Referring Video Object Segmentation","created":"2023-07-25","cited_by_count":48},{"id":"2205.08811","title":"PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects","created":"2022-05-18","cited_by_count":45},{"id":"2208.00237","title":"RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation","created":"2022-07-30","cited_by_count":43},{"id":"2403.19527","title":"Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation","created":"2024-03-28","cited_by_count":43},{"id":"2208.06661","title":"SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation","created":"2022-08-13","cited_by_count":41},{"id":"2303.13479","title":"IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation","created":"2023-03-23","cited_by_count":41},{"id":"2308.09916","title":"VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations","created":"2023-08-19","cited_by_count":41},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40},{"id":"2303.16730","title":"TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation","created":"2023-03-29","cited_by_count":32},{"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":"2207.08082","title":"CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement","created":"2022-07-17","cited_by_count":29},{"id":"2203.03089","title":"CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild","created":"2022-03-07","cited_by_count":28},{"id":"2111.12580","title":"UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation","created":"2021-11-24","cited_by_count":25},{"id":"2402.12647","title":"DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation","created":"2024-02-20","cited_by_count":25},{"id":"2502.04293","title":"GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation","created":"2025-02-06","cited_by_count":18},{"id":"2402.15726","title":"CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge","created":"2024-02-24","cited_by_count":16},{"id":"2502.02525","title":"Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation","created":"2025-02-04","cited_by_count":16},{"id":"2503.05578","title":"Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration","created":"2025-03-07","cited_by_count":11},{"id":"2502.01312","title":"CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation","created":"2025-02-03","cited_by_count":10},{"id":"2404.11139","title":"GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement","created":"2024-04-17","cited_by_count":8},{"id":"2410.20508","title":"Referring Human Pose and Mask Estimation in the Wild","created":"2024-10-27","cited_by_count":6},{"id":"2503.15110","title":"GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation","created":"2025-03-19","cited_by_count":6},{"id":"2504.10433","title":"MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model","created":"2025-04-14","cited_by_count":5},{"id":"2507.06662","title":"MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning","created":"2025-07-09","cited_by_count":4},{"id":"2605.25553","title":"ComPose: A Unified Completion-Pose Framework for Robust Category-Level Object Pose Estimation","created":"2026-05-25","cited_by_count":4},{"id":"2506.10816","title":"Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders","created":"2025-06-12","cited_by_count":3},{"id":"2603.00144","title":"Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation","created":"2026-02-24","cited_by_count":3},{"id":"2602.02220","title":"LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation","created":"2026-02-02","cited_by_count":2},{"id":"2603.19013","title":"GenHOI: Generalized Hand-Object Pose Estimation with Occlusion Awareness","created":"2026-03-19","cited_by_count":1},{"id":"2607.04930","title":"MemPose: Category-level Object Pose Estimation with Memory","created":"2026-07-06","cited_by_count":1}],"next_cursor":null}