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"title": "3D Object Detection for Autonomous Driving: A Survey"
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"title": "Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds"
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"title": "Cross-Modality 3D Object Detection"
},
"2208.11658": {
"arxivId": "2208.11658",
"title": "AGO-Net: Association-Guided 3D Point Cloud Object Detection Network"
},
"2108.03634": {
"arxivId": "2108.03634",
"title": "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud"
},
"2004.02724": {
"arxivId": "2004.02724",
"title": "Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds"
},
"2005.01864": {
"arxivId": "2005.01864",
"title": "Streaming Object Detection for 3-D Point Clouds"
},
"2103.14198": {
"arxivId": "2103.14198",
"title": "Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars"
},
"2112.07787": {
"arxivId": "2112.07787",
"title": "Revisiting 3D Object Detection From an Egocentric Perspective"
},
"2012.02938": {
"arxivId": "2012.02938",
"title": "Cirrus: A Long-range Bi-pattern LiDAR Dataset"
},
"2110.00464": {
"arxivId": "2110.00464",
"title": "MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation"
},
"2106.07545": {
"arxivId": "2106.07545",
"title": "PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars"
},
"2108.09663": {
"arxivId": "2108.09663",
"title": "SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation"
},
"2102.11952": {
"arxivId": "2102.11952",
"title": "Learning to Drop Points for LiDAR Scan Synthesis"
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"2012.03121": {
"arxivId": "2012.03121",
"title": "It\u2019s All Around You: Range-Guided Cylindrical Network for 3D Object Detection"
},
"2103.05929": {
"arxivId": "2103.05929",
"title": "MapFusion: A General Framework for 3D Object Detection with HDMaps"
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"2301.07870": {
"arxivId": "2301.07870",
"title": "Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception"
},
"2212.02181": {
"arxivId": "2212.02181",
"title": "Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction"
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"2008.06020": {
"arxivId": "2008.06020",
"title": "Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction"
},
"2203.08332": {
"arxivId": "2203.08332",
"title": "WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection"
},
"2011.06425": {
"arxivId": "2011.06425",
"title": "StrObe: Streaming Object Detection from LiDAR Packets"
},
"2005.10863": {
"arxivId": "2005.10863",
"title": "RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting"
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"2203.13394": {
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"title": "Point2Seq: Detecting 3D Objects as Sequences"
},
"2006.16007": {
"arxivId": "2006.16007",
"title": "MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time"
},
"2110.09355": {
"arxivId": "2110.09355",
"title": "FAST3D: Flow-Aware Self-Training for 3D Object Detectors"
}
} |