{"list":"other","total":55,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"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":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3241},{"id":"2004.11362","title":"Supervised Contrastive Learning","created":"2020-04-23","cited_by_count":2829},{"id":"1706.05587","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","created":"2017-06-17","cited_by_count":2161},{"id":"1706.08840","title":"Gradient Episodic Memory for Continual Learning","created":"2017-06-26","cited_by_count":1898},{"id":"1906.07155","title":"MMDetection: Open MMLab Detection Toolbox and Benchmark","created":"2019-06-17","cited_by_count":1385},{"id":"1702.05464","title":"Adversarial Discriminative Domain Adaptation","created":"2017-02-17","cited_by_count":1311},{"id":"1708.02072","title":"Measuring Catastrophic Forgetting in Neural Networks","created":"2017-08-07","cited_by_count":360},{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352},{"id":"2101.11939","title":"Exploring Cross-Image Pixel Contrast for Semantic Segmentation","created":"2021-01-28","cited_by_count":242},{"id":"1908.01998","title":"Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector","created":"2019-08-06","cited_by_count":206},{"id":"1712.06080","title":"Spatial As Deep: Spatial CNN for Traffic Scene Understanding","created":"2017-12-17","cited_by_count":187},{"id":"2006.06958","title":"Understanding the Role of Training Regimes in Continual Learning","created":"2020-06-12","cited_by_count":180},{"id":"2212.01322","title":"MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation","created":"2022-12-02","cited_by_count":178},{"id":"1908.00821","title":"Learning Lightweight Lane Detection CNNs by Self Attention Distillation","created":"2019-08-02","cited_by_count":162},{"id":"2007.07400","title":"Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics","created":"2020-07-14","cited_by_count":161},{"id":"2207.09052","title":"Balanced Contrastive Learning for Long-Tailed Visual Recognition","created":"2022-07-19","cited_by_count":144},{"id":"1909.13589","title":"Domain Adaptation for Semantic Segmentation with Maximum Squares Loss","created":"2019-09-30","cited_by_count":138},{"id":"2010.12035","title":"Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection","created":"2020-10-22","cited_by_count":138},{"id":"1802.05591","title":"Towards End-to-End Lane Detection: an Instance Segmentation Approach","created":"2018-02-15","cited_by_count":129},{"id":"2004.11757","title":"Ultra Fast Structure-aware Deep Lane Detection","created":"2020-04-24","cited_by_count":122},{"id":"2011.04233","title":"End-to-end Lane Shape Prediction with Transformers","created":"2020-11-09","cited_by_count":111},{"id":"1908.09547","title":"Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach","created":"2019-08-26","cited_by_count":103},{"id":"2004.10924","title":"PolyLaneNet: Lane Estimation via Deep Polynomial Regression","created":"2020-04-23","cited_by_count":95},{"id":"2105.05003","title":"CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution","created":"2021-05-11","cited_by_count":95},{"id":"2007.12147","title":"CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending","created":"2020-07-23","cited_by_count":80},{"id":"2002.06604","title":"Key Points Estimation and Point Instance Segmentation Approach for Lane Detection","created":"2020-02-16","cited_by_count":77},{"id":"2008.13719","title":"RESA: Recurrent Feature-Shift Aggregator for Lane Detection","created":"2020-08-31","cited_by_count":77},{"id":"2204.07335","title":"A Keypoint-based Global Association Network for Lane Detection","created":"2022-04-15","cited_by_count":68},{"id":"2105.13680","title":"Focus on Local: Detecting Lane Marker from Bottom Up via Key Point","created":"2021-05-28","cited_by_count":65},{"id":"1710.06288","title":"VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition","created":"2017-10-17","cited_by_count":56},{"id":"2206.07389","title":"Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification","created":"2022-06-15","cited_by_count":39},{"id":"2203.14911","title":"Expanding Low-Density Latent Regions for Open-Set Object Detection","created":"2022-03-28","cited_by_count":38},{"id":"2203.09830","title":"Laneformer: Object-aware Row-Column Transformers for Lane Detection","created":"2022-03-18","cited_by_count":25},{"id":"2202.07133","title":"Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving","created":"2022-02-15","cited_by_count":20},{"id":"2305.08366","title":"CLRerNet: Improving Confidence of Lane Detection with LaneIoU","created":"2023-05-15","cited_by_count":17},{"id":"2301.06910","title":"BSNet: Lane Detection via Draw B-spline Curves Nearby","created":"2023-01-17","cited_by_count":13},{"id":"2001.01578","title":"Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization","created":"2020-01-06","cited_by_count":6},{"id":"2206.10692","title":"Multi-level Domain Adaptation for Lane Detection","created":"2022-06-21","cited_by_count":6},{"id":"2404.14671","title":"LaneCorrect: Self-supervised Lane Detection","created":"2024-04-23","cited_by_count":5},{"id":"2406.08775","title":"ALINA: Advanced Line Identification and Notation Algorithm","created":"2024-06-13","cited_by_count":4},{"id":"2308.08242","title":"Contrastive Learning for Lane Detection via cross-similarity","created":"2023-08-16","cited_by_count":2},{"id":"2409.06856","title":"AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations","created":"2024-09-10","cited_by_count":2},{"id":"2409.17158","title":"Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection","created":"2024-09-10","cited_by_count":2},{"id":"2407.13328","title":"Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation","created":"2024-07-18","cited_by_count":1},{"id":"2501.18494","title":"Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches","created":"2025-01-30","cited_by_count":1}],"next_cursor":null}