{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/3d-object-detection/papers/15","list_of":"/task/3d-object-detection","task":"3D Object Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":15,"pages_in_order":16,"rows_per_page":100,"rows":[1401,1500],"of":1576,"counts":{"archive_papers_tagged":1576,"with_a_code_link":764,"where_syntology_ran_a_sample":277,"not_listed_spam_title":0,"listed":1576,"listed_where_code_ran":277,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":251,"every_run_a_failure_of_syntologys_instrument":26,"listed_with_a_run_with_no_instrument_failure":251,"listed_every_run_a_failure_of_syntologys_instrument":26,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/3d-object-detection","prev":"/task/3d-object-detection/papers/14","next":"/task/3d-object-detection/papers/16","papers":[{"url":null,"slug":"offboard-3d-object-detection-from-point-cloud","title":"Offboard 3D Object Detection from Point Cloud Sequences","date":"2021-03-08","arxiv_id":"2103.05073","repositories_listed":0,"syntology":null},{"url":"/paper/iafa-instance-aware-feature-aggregation-for","slug":"iafa-instance-aware-feature-aggregation-for","title":"IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image","date":"2021-03-05","arxiv_id":"2103.03480","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-lidar-and-stereo-fusion-sls-fusion-for","title":"Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection","date":"2021-03-05","arxiv_id":"2103.03977","repositories_listed":0,"syntology":null},{"url":null,"slug":"pseudo-labeling-for-scalable-3d-object","title":"Pseudo-labeling for Scalable 3D Object Detection","date":"2021-03-02","arxiv_id":"2103.02093","repositories_listed":0,"syntology":null},{"url":"/paper/3d-object-detection-and-instance-segmentation","slug":"3d-object-detection-and-instance-segmentation","title":"3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images","date":"2021-02-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dpointnet-a-density-oriented-pointnet-for-3d","title":"DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds","date":"2021-02-07","arxiv_id":"2102.03747","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-removal-attacks-on-lidar-based-3d","title":"Object Removal Attacks on LiDAR-based 3D Object Detectors","date":"2021-02-07","arxiv_id":"2102.03722","repositories_listed":0,"syntology":null},{"url":null,"slug":"gated3d-monocular-3d-object-detection-from","title":"Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues","date":"2021-02-06","arxiv_id":"2102.03602","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-universal-physical-attacks-on","title":"Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models","date":"2021-01-26","arxiv_id":"2101.10747","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-stage-data-association-approach-for-3d","title":"A two-stage data association approach for 3D Multi-object Tracking","date":"2021-01-21","arxiv_id":"2101.08684","repositories_listed":0,"syntology":null},{"url":null,"slug":"auto4d-learning-to-label-4d-objects-from","title":"Auto4D: Learning to Label 4D Objects from Sequential Point Clouds","date":"2021-01-17","arxiv_id":"2101.06586","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-geometry-aware-contrast-and","title":"Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"venet-voting-enhancement-network-for-3d","title":"VENet: Voting Enhancement Network for 3D Object Detection","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"you-don-t-only-look-once-constructing-spatial","title":"You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"achieving-real-time-lidar-3d-object-detection","title":"Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device","date":"2020-12-26","arxiv_id":"2012.13801","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconfigurable-intelligent-surface-assisted-6","title":"Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks","date":"2020-12-25","arxiv_id":"2012.13533","repositories_listed":0,"syntology":null},{"url":"/paper/multi-task-multi-sensor-fusion-for-3d-object-1","slug":"multi-task-multi-sensor-fusion-for-3d-object-1","title":"Multi-Task Multi-Sensor Fusion for 3D Object Detection","date":"2020-12-22","arxiv_id":"2012.12397","repositories_listed":0,"syntology":null},{"url":null,"slug":"hdnet-exploiting-hd-maps-for-3d-object","title":"HDNET: Exploiting HD Maps for 3D Object Detection","date":"2020-12-21","arxiv_id":"2012.11704","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-continuous-fusion-for-multi-sensor-3d-1","title":"Deep Continuous Fusion for Multi-Sensor 3D Object Detection","date":"2020-12-20","arxiv_id":"2012.10992","repositories_listed":0,"syntology":null},{"url":"/paper/pc-rgnn-point-cloud-completion-and-graph","slug":"pc-rgnn-point-cloud-completion-and-graph","title":"PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection","date":"2020-12-18","arxiv_id":"2012.10412","repositories_listed":0,"syntology":null},{"url":null,"slug":"demystifying-pseudo-lidar-for-monocular-3d","title":"Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?","date":"2020-12-10","arxiv_id":"2012.05796","repositories_listed":0,"syntology":null},{"url":null,"slug":"r-agno-rpn-a-lidar-camera-region-deep-network","title":"R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection","date":"2020-12-10","arxiv_id":"2012.05740","repositories_listed":0,"syntology":null},{"url":null,"slug":"cirrus-a-long-range-bi-pattern-lidar-dataset","title":"Cirrus: A Long-range Bi-pattern LiDAR Dataset","date":"2020-12-05","arxiv_id":"2012.02938","repositories_listed":0,"syntology":null},{"url":null,"slug":"it-s-all-around-you-range-guided-cylindrical","title":"It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection","date":"2020-12-05","arxiv_id":"2012.03121","repositories_listed":0,"syntology":null},{"url":"/paper/scan2cap-context-aware-dense-captioning-in","slug":"scan2cap-context-aware-dense-captioning-in","title":"Scan2Cap: Context-aware Dense Captioning in RGB-D Scans","date":"2020-12-03","arxiv_id":"2012.02206","repositories_listed":0,"syntology":null},{"url":null,"slug":"curiosity-driven-3d-scene-structure-from","title":"Curiosity-driven 3D Object Detection Without Labels","date":"2020-12-02","arxiv_id":"2012.01230","repositories_listed":0,"syntology":null},{"url":null,"slug":"every-view-counts-cross-view-consistency-in","title":"Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-channel-transformer-for-3d-lidar","title":"Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving","date":"2020-11-27","arxiv_id":"2011.13628","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-stage-cnn-based-monocular-3d-vehicle","title":"Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation","date":"2020-11-24","arxiv_id":"2011.12256","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-overview-of-3d-object-detection","title":"An Overview Of 3D Object Detection","date":"2020-10-29","arxiv_id":"2010.15614","repositories_listed":0,"syntology":null},{"url":null,"slug":"stereo-frustums-a-siamese-pipeline-for-3d","title":"Stereo Frustums: A Siamese Pipeline for 3D Object Detection","date":"2020-10-27","arxiv_id":"2010.14599","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-detection-and-pose-estimation-of","title":"3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings","date":"2020-10-08","arxiv_id":"2010.04075","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-monocular-3d-vehicle-detection","title":"Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels","date":"2020-10-07","arxiv_id":"2010.03506","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-differentiable-rendering-for-self-1","title":"Monocular Differentiable Rendering for Self-Supervised 3D Object Detection","date":"2020-09-30","arxiv_id":"2009.14524","repositories_listed":0,"syntology":null},{"url":null,"slug":"coff-cooperative-spatial-feature-fusion-for","title":"CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles","date":"2020-09-24","arxiv_id":"2009.11975","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-frame-to-single-frame-knowledge","title":"Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection","date":"2020-09-24","arxiv_id":"2009.11859","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-point-cloud-semantic-segmentation","title":"Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection","date":"2020-09-22","arxiv_id":"2009.10569","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-edge-weights-in-graph-neural-networks","title":"Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection","date":"2020-09-17","arxiv_id":"2009.08253","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-detection-and-tracking-based-on","title":"3D Object Detection and Tracking Based on Streaming Data","date":"2020-09-14","arxiv_id":"2009.06169","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-density-aware-pointrcnn-for-3d-objection","title":"A Density-Aware PointRCNN for 3D Object Detection in Point Clouds","date":"2020-09-11","arxiv_id":"2009.05307","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-range-stereo-matching-by-learning-depth","title":"Adjusting Bias in Long Range Stereo Matching: A semantics guided approach","date":"2020-09-10","arxiv_id":"2009.04629","repositories_listed":0,"syntology":null},{"url":null,"slug":"roifusion-3d-object-detection-from-lidar-and","title":"RoIFusion: 3D Object Detection from LiDAR and Vision","date":"2020-09-09","arxiv_id":"2009.04554","repositories_listed":0,"syntology":null},{"url":"/paper/reinforced-axial-refinement-network-for","slug":"reinforced-axial-refinement-network-for","title":"Reinforced Axial Refinement Network for Monocular 3D Object Detection","date":"2020-08-31","arxiv_id":"2008.13748","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-for-free-crossmodal-transfer-learning","title":"3D for Free: Crossmodal Transfer Learning using HD Maps","date":"2020-08-24","arxiv_id":"2008.10592","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-autonomous-driving-a-multi-modal-360","title":"Towards Autonomous Driving: a Multi-Modal 360$^{\\circ}$ Perception Proposal","date":"2020-08-21","arxiv_id":"2008.09672","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-3d-object-detection","title":"Cross-Modality 3D Object Detection","date":"2020-08-16","arxiv_id":"2008.10436","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-class-3d-object-detection-within","title":"Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery","date":"2020-08-03","arxiv_id":"2008.01218","repositories_listed":0,"syntology":null},{"url":null,"slug":"distance-normalized-unified-representation","title":"Distance-Normalized Unified Representation for Monocular 3D Object Detection","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-object-detection-via-feature","title":"Monocular 3D Object Detection via Feature Domain Adaptation","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rotation-robust-intersection-over-union-for","title":"Rotation-robust Intersection over Union for 3D Object Detection","date":"2020-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-lstm-approach-to-temporal-3d-object","title":"An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds","date":"2020-07-24","arxiv_id":"2007.12392","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-aware-centroid-voting-for-monocular-3d","title":"Object-Aware Centroid Voting for Monocular 3D Object Detection","date":"2020-07-20","arxiv_id":"2007.09836","repositories_listed":0,"syntology":null},{"url":"/paper/infofocus-3d-object-detection-for-autonomous","slug":"infofocus-3d-object-detection-for-autonomous","title":"InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling","date":"2020-07-16","arxiv_id":"2007.08556","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-grid-rendering-networks-for-3d-object","title":"Local Grid Rendering Networks for 3D Object Detection in Point Clouds","date":"2020-07-04","arxiv_id":"2007.02099","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimisation-of-the-pointpillars-network-for","title":"Optimisation of the PointPillars network for 3D object detection in point clouds","date":"2020-07-01","arxiv_id":"2007.00493","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-deep-neural-networks-with","title":"Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey","date":"2020-06-30","arxiv_id":"2006.16867","repositories_listed":0,"syntology":null},{"url":null,"slug":"expandable-yolo-3d-object-detection-from-rgb","title":"Expandable YOLO: 3D Object Detection from RGB-D Images","date":"2020-06-26","arxiv_id":"2006.14837","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-shot-3d-detection-of-vehicles-from","title":"Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time","date":"2020-06-23","arxiv_id":"2006.13084","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-better-performance-and-more","title":"Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles","date":"2020-06-22","arxiv_id":"2006.12015","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-driving-with-deep-learning-a","title":"Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies","date":"2020-06-10","arxiv_id":"2006.06091","repositories_listed":0,"syntology":null},{"url":null,"slug":"stereo-rgb-and-deeper-lidar-based-network-for","title":"Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection","date":"2020-06-09","arxiv_id":"2006.05187","repositories_listed":0,"syntology":null},{"url":null,"slug":"associate-3ddet-perceptual-to-conceptual-1","title":"Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection","date":"2020-06-08","arxiv_id":"2006.04356","repositories_listed":0,"syntology":null},{"url":"/paper/cubifae-3d-monocular-camera-space","slug":"cubifae-3d-monocular-camera-space","title":"CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection","date":"2020-06-07","arxiv_id":"2006.04080","repositories_listed":0,"syntology":null},{"url":"/paper/svga-net-sparse-voxel-graph-attention-network","slug":"svga-net-sparse-voxel-graph-attention-network","title":"SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds","date":"2020-06-07","arxiv_id":"2006.04043","repositories_listed":0,"syntology":null},{"url":"/paper/a-hierarchical-graph-network-for-3d-object","slug":"a-hierarchical-graph-network-for-3d-object","title":"A Hierarchical Graph Network for 3D Object Detection on Point Clouds","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"density-based-clustering-for-3d-object","title":"Density-Based Clustering for 3D Object Detection in Point Clouds","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/joint-3d-instance-segmentation-and-object","slug":"joint-3d-instance-segmentation-and-object","title":"Joint 3D Instance Segmentation and Object Detection for Autonomous Driving","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"single-shot-monocular-rgb-d-imaging-using","title":"Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"center3d-center-based-monocular-3d-object","title":"Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding","date":"2020-05-27","arxiv_id":"2005.13423","repositories_listed":0,"syntology":null},{"url":null,"slug":"rv-fusenet-range-view-based-fusion-of-time","title":"RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting","date":"2020-05-21","arxiv_id":"2005.10863","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-capabilities-and-limits-of-3d","title":"Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data","date":"2020-05-15","arxiv_id":"2005.07424","repositories_listed":0,"syntology":null},{"url":null,"slug":"view-invariant-human-body-detection-and-pose","title":"View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors","date":"2020-05-08","arxiv_id":"2005.04258","repositories_listed":0,"syntology":null},{"url":null,"slug":"drosophila-inspired-3d-moving-object","title":"Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds","date":"2020-05-06","arxiv_id":"2005.02696","repositories_listed":0,"syntology":null},{"url":null,"slug":"ss3d-single-shot-3d-object-detector","title":"SS3D: Single Shot 3D Object Detector","date":"2020-04-30","arxiv_id":"2004.14674","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-detection-method-based-on-yolo-and","title":"3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds","date":"2020-04-21","arxiv_id":"2005.02132","repositories_listed":0,"syntology":null},{"url":null,"slug":"yolo-and-k-means-based-3d-object-detection","title":"YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud","date":"2020-04-21","arxiv_id":"2004.11465","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-evaluate-perception-models-using","title":"Learning to Evaluate Perception Models Using Planner-Centric Metrics","date":"2020-04-19","arxiv_id":"2004.08745","repositories_listed":0,"syntology":null},{"url":null,"slug":"alcn-adaptive-local-contrast-normalization","title":"ALCN: Adaptive Local Contrast Normalization","date":"2020-04-15","arxiv_id":"2004.07945","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-data-augmentation-for-lidar-based","title":"Quantifying Data Augmentation for LiDAR based 3D Object Detection","date":"2020-04-03","arxiv_id":"2004.01643","repositories_listed":0,"syntology":null},{"url":null,"slug":"dops-learning-to-detect-3d-objects-and","title":"DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes","date":"2020-04-02","arxiv_id":"2004.01170","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-3d-object-detection-through","title":"Improving 3D Object Detection through Progressive Population Based Augmentation","date":"2020-04-02","arxiv_id":"2004.00831","repositories_listed":0,"syntology":null},{"url":null,"slug":"boundary-aware-dense-feature-indicator-for","title":"Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds","date":"2020-04-01","arxiv_id":"2004.00186","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-evaluation-of-prohibited-item","title":"On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery","date":"2020-03-27","arxiv_id":"2003.12625","repositories_listed":0,"syntology":null},{"url":null,"slug":"safety-aware-hardening-of-3d-object-detection","title":"Safety-Aware Hardening of 3D Object Detection Neural Network Systems","date":"2020-03-25","arxiv_id":"2003.11242","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-3d-object-proposal-generation-and","title":"Real-time 3D object proposal generation and classification under limited processing resources","date":"2020-03-24","arxiv_id":"2003.10670","repositories_listed":0,"syntology":null},{"url":"/paper/adapting-object-detectors-with-conditional","slug":"adapting-object-detectors-with-conditional","title":"Adapting Object Detectors with Conditional Domain Normalization","date":"2020-03-16","arxiv_id":"2003.07071","repositories_listed":0,"syntology":null},{"url":null,"slug":"laserflow-efficient-and-probabilistic-object","title":"LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting","date":"2020-03-12","arxiv_id":"2003.05982","repositories_listed":0,"syntology":null},{"url":"/paper/confidence-guided-stereo-3d-object-detection","slug":"confidence-guided-stereo-3d-object-detection","title":"Confidence Guided Stereo 3D Object Detection with Split Depth Estimation","date":"2020-03-11","arxiv_id":"2003.05505","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-object-detection-in-cylindrical","title":"3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image","date":"2020-03-08","arxiv_id":"2003.03759","repositories_listed":0,"syntology":null},{"url":null,"slug":"hvnet-hybrid-voxel-network-for-lidar-based-3d","title":"HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection","date":"2020-02-29","arxiv_id":"2003.00186","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-on-radar-centric-3d-object","title":"Deep Learning on Radar Centric 3D Object Detection","date":"2020-02-27","arxiv_id":"2003.00851","repositories_listed":0,"syntology":null},{"url":null,"slug":"sianms-non-maximum-suppression-with-siamese","title":"siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection","date":"2020-02-19","arxiv_id":"2002.08239","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-object-detection-with-decoupled","title":"Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation","date":"2020-02-05","arxiv_id":"2002.01619","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-detection-on-point-clouds-using","title":"3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface","date":"2020-02-02","arxiv_id":"2002.00336","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-uncertainties-for-deep-multi-modal","title":"Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving","date":"2020-02-01","arxiv_id":"2002.00216","repositories_listed":0,"syntology":null},{"url":"/paper/object-as-hotspots-an-anchor-free-3d-object","slug":"object-as-hotspots-an-anchor-free-3d-object","title":"Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots","date":"2019-12-30","arxiv_id":"1912.12791","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-scnn-based-real-time-object-detection","title":"Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data","date":"2019-12-17","arxiv_id":"1912.07906","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-stage-monocular-3d-object-detection","title":"Towards Generalization Across Depth for Monocular 3D Object Detection","date":"2019-12-17","arxiv_id":"1912.08035","repositories_listed":0,"syntology":null},{"url":"/paper/perspectivenet-3d-object-detection-from-a-1","slug":"perspectivenet-3d-object-detection-from-a-1","title":"PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points","date":"2019-12-16","arxiv_id":"1912.07744","repositories_listed":0,"syntology":null},{"url":null,"slug":"relation-graph-network-for-3d-object","title":"Relation Graph Network for 3D Object Detection in Point Clouds","date":"2019-11-30","arxiv_id":"1912.00202","repositories_listed":0,"syntology":null}],"record_sha256":"e77ea22a8c5d586640cbc45836b61bf189f48518d7273c2cae33085dc38a644e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}