{"list":"other","total":60,"rows":[{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1502.03167","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","created":"2015-02-11","cited_by_count":7005},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1706.02413","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","created":"2017-06-07","cited_by_count":4401},{"id":"1504.08083","title":"Fast R-CNN","created":"2015-04-30","cited_by_count":2933},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1812.05784","title":"PointPillars: Fast Encoders for Object Detection from Point Clouds","created":"2018-12-14","cited_by_count":1715},{"id":"1711.06396","title":"VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection","created":"2017-11-17","cited_by_count":1323},{"id":"1712.00726","title":"Cascade R-CNN: Delving into High Quality Object Detection","created":"2017-12-03","cited_by_count":1276},{"id":"1803.05407","title":"Averaging Weights Leads to Wider Optima and Better Generalization","created":"2018-03-14","cited_by_count":1209},{"id":"2006.11275","title":"Center-based 3D Object Detection and Tracking","created":"2020-06-19","cited_by_count":1144},{"id":"1812.04244","title":"PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud","created":"2018-12-11","cited_by_count":941},{"id":"1912.13192","title":"PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection","created":"2019-12-31","cited_by_count":891},{"id":"1808.01244","title":"CornerNet: Detecting Objects as Paired Keypoints","created":"2018-08-03","cited_by_count":763},{"id":"1611.07759","title":"Multi-View 3D Object Detection Network for Autonomous Driving","created":"2016-11-23","cited_by_count":724},{"id":"1904.09664","title":"Deep Hough Voting for 3D Object Detection in Point Clouds","created":"2019-04-21","cited_by_count":648},{"id":"2002.10187","title":"3DSSD: Point-based 3D Single Stage Object Detector","created":"2020-02-24","cited_by_count":440},{"id":"2012.15712","title":"Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection","created":"2020-12-31","cited_by_count":410},{"id":"1907.03670","title":"From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network","created":"2019-07-08","cited_by_count":368},{"id":"1902.06326","title":"PIXOR: Real-time 3D Object Detection from Point Clouds","created":"2019-02-17","cited_by_count":358},{"id":"1908.09492","title":"Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection","created":"2019-08-26","cited_by_count":350},{"id":"1907.10471","title":"STD: Sparse-to-Dense 3D Object Detector for Point Cloud","created":"2019-07-22","cited_by_count":282},{"id":"2109.02497","title":"Voxel Transformer for 3D Object Detection","created":"2021-09-06","cited_by_count":247},{"id":"2102.00463","title":"PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection","created":"2021-01-31","cited_by_count":232},{"id":"2008.13367","title":"VarifocalNet: An IoU-aware Dense Object Detector","created":"2020-08-31","cited_by_count":231},{"id":"1706.01307","title":"Submanifold Sparse Convolutional Networks","created":"2017-06-05","cited_by_count":223},{"id":"2012.11409","title":"3D Object Detection with Pointformer","created":"2020-12-21","cited_by_count":194},{"id":"1807.11590","title":"Acquisition of Localization Confidence for Accurate Object Detection","created":"2018-07-30","cited_by_count":176},{"id":"1910.06528","title":"End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds","created":"2019-10-15","cited_by_count":171},{"id":"2103.05073","title":"Offboard 3D Object Detection from Point Cloud Sequences","created":"2021-03-08","cited_by_count":145},{"id":"2103.10039","title":"RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection","created":"2021-03-18","cited_by_count":140},{"id":"2007.10323","title":"Pillar-based Object Detection for Autonomous Driving","created":"2020-07-20","cited_by_count":137},{"id":"1903.08701","title":"LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving","created":"2019-03-20","cited_by_count":133},{"id":"2103.15297","title":"LiDAR R-CNN: An Efficient and Universal 3D Object Detector","created":"2021-03-29","cited_by_count":129},{"id":"2106.13365","title":"RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection","created":"2021-06-25","cited_by_count":115},{"id":"2108.10723","title":"Improving 3D Object Detection with Channel-wise Transformer","created":"2021-08-23","cited_by_count":108},{"id":"2012.03015","title":"CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud","created":"2020-12-05","cited_by_count":107},{"id":"1912.12791","title":"Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots","created":"2019-12-30","cited_by_count":84},{"id":"2109.02499","title":"Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection","created":"2021-09-06","cited_by_count":79},{"id":"2005.09927","title":"Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection","created":"2020-05-20","cited_by_count":78},{"id":"2104.11896","title":"M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers","created":"2021-04-24","cited_by_count":74},{"id":"2103.16054","title":"3D-MAN: 3D Multi-frame Attention Network for Object Detection","created":"2021-03-30","cited_by_count":73},{"id":"1912.04986","title":"What You See is What You Get: Exploiting Visibility for 3D Object Detection","created":"2019-12-10","cited_by_count":69},{"id":"2004.01389","title":"LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention","created":"2020-04-03","cited_by_count":65},{"id":"2006.12671","title":"AFDet: Anchor Free One Stage 3D Object Detection","created":"2020-06-23","cited_by_count":63},{"id":"2109.05441","title":"Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception","created":"2021-09-12","cited_by_count":57},{"id":"2104.00902","title":"HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection","created":"2021-04-02","cited_by_count":47},{"id":"1908.11069","title":"StarNet: Targeted Computation for Object Detection in Point Clouds","created":"2019-08-29","cited_by_count":46},{"id":"2004.00831","title":"Improving 3D Object Detection through Progressive Population Based Augmentation","created":"2020-04-02","cited_by_count":41},{"id":"2106.13381","title":"To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels","created":"2021-06-25","cited_by_count":39},{"id":"1912.05992","title":"IoU-aware Single-stage Object Detector for Accurate Localization","created":"2019-12-12","cited_by_count":36},{"id":"2103.02093","title":"Pseudo-labeling for Scalable 3D Object Detection","created":"2021-03-02","cited_by_count":32},{"id":"2107.14391","title":"From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection","created":"2021-07-30","cited_by_count":24},{"id":"2006.15505","title":"1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation","created":"2020-06-28","cited_by_count":15},{"id":"2008.12599","title":"PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges","created":"2020-08-28","cited_by_count":8},{"id":"2006.15506","title":"1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking","created":"2020-06-28","cited_by_count":5},{"id":"2106.10493","title":"CenterAtt: Fast 2-stage Center Attention Network","created":"2021-06-19","cited_by_count":5},{"id":"2106.14101","title":"Real-time 3D Object Detection using Feature Map Flow","created":"2021-06-26","cited_by_count":5},{"id":"2107.14342","title":"Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness","created":"2021-07-29","cited_by_count":4}],"next_cursor":null}