{"total":58,"rows":[{"id":"2206.02099","title":"Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation","created":"2022-06-05","cited_by_count":119,"area":"distill"},{"id":"2105.05003","title":"CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution","created":"2021-05-11","cited_by_count":95,"area":null},{"id":"2302.13540","title":"OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion","created":"2023-02-27","cited_by_count":86,"area":null},{"id":"2303.06884","title":"SCPNet: Semantic Scene Completion on Point Cloud","created":"2023-03-13","cited_by_count":80,"area":"distill"},{"id":"2201.10830","title":"MonoDistill: Learning Spatial Features for Monocular 3D Object Detection","created":"2022-01-26","cited_by_count":68,"area":null},{"id":"2303.15083","title":"UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View","created":"2023-03-27","cited_by_count":43,"area":"distill"},{"id":"2103.12040","title":"LaneAF: Robust Multi-Lane Detection with Affinity Fields","created":"2021-03-22","cited_by_count":41,"area":null},{"id":"2206.06067","title":"Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation","created":"2022-06-13","cited_by_count":41,"area":"distill"},{"id":"2205.00858","title":"Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation","created":"2022-05-02","cited_by_count":40,"area":null},{"id":"2301.04470","title":"InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning","created":"2023-01-10","cited_by_count":40,"area":null},{"id":"2206.07389","title":"Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification","created":"2022-06-15","cited_by_count":39,"area":null},{"id":"2109.01801","title":"Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation","created":"2021-09-04","cited_by_count":32,"area":null},{"id":"2203.15302","title":"Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes","created":"2022-03-29","cited_by_count":32,"area":null},{"id":"2105.05403","title":"Structure Guided Lane Detection","created":"2021-05-12","cited_by_count":27,"area":null},{"id":"2312.11829","title":"RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation","created":"2023-12-19","cited_by_count":27,"area":null},{"id":"2308.04268","title":"Teacher-Student Architecture for Knowledge Distillation: A Survey","created":"2023-08-08","cited_by_count":26,"area":"distill"},{"id":"2108.08482","title":"VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection","created":"2021-08-19","cited_by_count":21,"area":null},{"id":"2207.09399","title":"RCLane: Relay Chain Prediction for Lane Detection","created":"2022-07-19","cited_by_count":20,"area":null},{"id":"2205.11158","title":"IDEAL: Query-Efficient Data-Free Learning from Black-box Models","created":"2022-05-23","cited_by_count":16,"area":"distill"},{"id":"2306.08075","title":"BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation","created":"2023-06-13","cited_by_count":15,"area":"distill"},{"id":"2404.08564","title":"Federated Distillation: A Survey","created":"2024-04-02","cited_by_count":15,"area":null},{"id":"2208.14143","title":"FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation","created":"2022-08-30","cited_by_count":14,"area":"distill"},{"id":"2308.13998","title":"Computation-efficient Deep Learning for Computer Vision: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2206.00809","title":"Distilling Knowledge from Object Classification to Aesthetics Assessment","created":"2022-06-02","cited_by_count":12,"area":null},{"id":"2102.07037","title":"Robust Lane Detection via Expanded Self Attention","created":"2021-02-14","cited_by_count":9,"area":null},{"id":"2111.13307","title":"Self-supervised Correlation Mining Network for Person Image Generation","created":"2021-11-26","cited_by_count":9,"area":null},{"id":"2308.11106","title":"Recursive Video Lane Detection","created":"2023-08-22","cited_by_count":9,"area":null},{"id":"2304.05667","title":"Rail Detection: An Efficient Row-based Network and A New Benchmark","created":"2023-04-12","cited_by_count":8,"area":null},{"id":"2203.04067","title":"Lane Detection with Versatile AtrousFormer and Local Semantic Guidance","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2203.08667","title":"Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation","created":"2022-03-16","cited_by_count":7,"area":null},{"id":"2203.16851","title":"Towards Driving-Oriented Metric for Lane Detection Models","created":"2022-03-31","cited_by_count":7,"area":"driving"},{"id":"2301.01615","title":"StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection","created":"2023-01-04","cited_by_count":7,"area":null},{"id":"2103.01847","title":"Network Pruning via Resource Reallocation","created":"2021-03-02","cited_by_count":6,"area":null},{"id":"2302.14643","title":"Graph-based Knowledge Distillation: A survey and experimental evaluation","created":"2023-02-27","cited_by_count":6,"area":"distill"},{"id":"2407.10135","title":"FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection","created":"2024-07-14","cited_by_count":6,"area":"distill"},{"id":"2108.12173","title":"CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation","created":"2021-08-27","cited_by_count":5,"area":"distill"},{"id":"2109.00211","title":"Efficient Person Search: An Anchor-Free Approach","created":"2021-09-01","cited_by_count":5,"area":null},{"id":"2110.04079","title":"A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection","created":"2021-10-05","cited_by_count":5,"area":null},{"id":"2304.14874","title":"Dense Hybrid Proposal Modulation for Lane Detection","created":"2023-04-28","cited_by_count":4,"area":null},{"id":"2307.03494","title":"HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution","created":"2023-07-07","cited_by_count":4,"area":null},{"id":"2408.07486","title":"OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2411.16316","title":"Monocular Lane Detection Based on Deep Learning: A Survey","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2104.06903","title":"Harmonious Semantic Line Detection via Maximal Weight Clique Selection","created":"2021-04-14","cited_by_count":3,"area":null},{"id":"2106.05094","title":"Semi-supervised lane detection with Deep Hough Transform","created":"2021-06-09","cited_by_count":3,"area":null},{"id":"2107.02488","title":"On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving","created":"2021-07-06","cited_by_count":3,"area":"driving"},{"id":"2307.09264","title":"Knowledge Distillation for Object Detection: from generic to remote sensing datasets","created":"2023-07-18","cited_by_count":3,"area":"distill"},{"id":"2209.11795","title":"Descriptor Distillation: a Teacher-Student-Regularized Framework for Learning Local Descriptors","created":"2022-09-23","cited_by_count":2,"area":"distill"},{"id":"2309.14744","title":"ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation","created":"2023-09-26","cited_by_count":2,"area":"distill"},{"id":"2404.07626","title":"Homography Guided Temporal Fusion for Road Line and Marking Segmentation","created":"2024-04-11","cited_by_count":2,"area":null},{"id":"2210.05097","title":"Repainting and Imitating Learning for Lane Detection","created":"2022-10-11","cited_by_count":1,"area":null},{"id":"2302.07440","title":"Road Redesign Technique Achieving Enhanced Road Safety by Inpainting with a Diffusion Model","created":"2023-02-15","cited_by_count":1,"area":null},{"id":"2312.17163","title":"FENet: Focusing Enhanced Network for Lane Detection","created":"2023-12-28","cited_by_count":1,"area":null},{"id":"2607.05783","title":"Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective","created":"2026-07-07","cited_by_count":1,"area":"driving"},{"id":"2201.07120","title":"Contextual road lane and symbol generation for autonomous driving","created":"2022-01-18","cited_by_count":0,"area":null},{"id":"2312.16499","title":"Camera calibration for the surround-view system: a benchmark and dataset","created":"2023-12-27","cited_by_count":0,"area":null},{"id":"2407.09697","title":"Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2607.12297","title":"MobileSAM2: Lightweight Segment Anything for Spatial Intelligence","created":"2026-07-14","cited_by_count":0,"area":"distill"},{"id":"2608.16338","title":"SIGMA-Lane: Scale-pyramId Gated MAmba for Temporally Consistent Video Lane Detection","created":"2026-08-17","cited_by_count":0,"area":"ssm"}],"next_cursor":null}