mlsanityData to 13 Oct 2026

CornerNet: Detecting Objects as Paired Keypoints

arXiv 1808.01244 ↗First posted 3 Aug 2018cs.CVcited by 763

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Abstract (arXiv)

We propose CornerNet, a new approach to object detection where we detect an object bounding box as a pair of keypoints, the top-left corner and the bottom-right corner, using a single convolution neural network. By detecting objects as paired keypoints, we eliminate the need for designing a set of anchor boxes commonly used in prior single-stage detectors. In addition to our novel formulation, we introduce corner pooling, a new type of pooling layer that helps the network better localize corners. Experiments show that CornerNet achieves a 42.2% AP on MS COCO, outperforming all existing one-stage detectors.

Key facts. Cited by 763 papers in the map (data through 13 Oct 2026). First posted on arXiv 3 Aug 2018.

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Citing papers per year: 2021: 233; 2022: 172; 2023: 148; 2024: 108; 2025: 60; 2026: 42.

763 papers.

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  1. 2021Vision Transformers for Dense Predictioncited by 1,795
  2. 2022ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoningcited by 1,461
  3. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,069
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  5. 2021FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detectioncited by 446
  6. 2021Conditional DETR for Fast Training Convergencecited by 423
  7. 2022Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Frameworkcited by 329
  8. 2021Unbiased Teacher for Semi-Supervised Object Detectioncited by 305
  9. 2022YOLOv6: A Single-Stage Object Detection Framework for Industrial Applicationscited by 274
  10. 2021PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detectioncited by 232
  11. 2021TOOD: Task-aligned One-stage Object Detectioncited by 218
  12. 2021Embracing Single Stride 3D Object Detector with Sparse Transformercited by 193
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  2. 2021OTA: Optimal Transport Assignment for Object Detectioncited by 177
  3. 2021Multimodal Virtual Point 3D Detectioncited by 166
  4. 2022Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wildcited by 159
  5. 2021Learning Salient Boundary Feature for Anchor-free Temporal Action Localizationcited by 156
  6. 2023A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAScited by 150
  7. 2022UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detectioncited by 148
  8. 2021FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagerycited by 143
  9. 2021Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networkscited by 142
  10. 2021Delving into Localization Errors for Monocular 3D Object Detectioncited by 139
  11. 2021Probabilistic two-stage detectioncited by 130
  12. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 130
  13. 2021Efficient DETR: Improving End-to-End Object Detector with Dense Priorcited by 128
  14. 2022Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipecited by 122
  15. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 119
  16. 2021You Only Look One-level Featurecited by 116
  17. 2021Humble Teachers Teach Better Students for Semi-Supervised Object Detectioncited by 115
  18. 2021RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detectioncited by 115
  19. 2021General Instance Distillation for Object Detectioncited by 114
  20. 2021Instant-Teaching: An End-to-End Semi-Supervised Object Detection Frameworkcited by 112
  21. 2021Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regressioncited by 112
  22. 2021Improving 3D Object Detection with Channel-wise Transformercited by 108
  23. 2021Efficient Training of Visual Transformers with Small Datasetscited by 107
  24. 2021Distilling Object Detectors via Decoupled Featurescited by 106
  25. 2021Recent advances and clinical applications of deep learning in medical image analysiscited by 104
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  27. 2021Oriented RepPoints for Aerial Object Detectioncited by 102
  28. 2023Contextual Object Detection with Multimodal Large Language Modelscited by 100
  29. 2022CenterFormer: Center-based Transformer for 3D Object Detectioncited by 99
  30. 2023Large Selective Kernel Network for Remote Sensing Object Detectioncited by 98
  31. 2021CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolutioncited by 95
  32. 2022RelTR: Relation Transformer for Scene Graph Generationcited by 95
  33. 2022SWFormer: Sparse Window Transformer for 3D Object Detection in Point Cloudscited by 92
  34. 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detectioncited by 89
  35. 2021Boundary Proposal Network for Two-Stage Natural Language Video Localizationcited by 88
  36. 2021Generalized Few-Shot Object Detection without Forgettingcited by 88
  37. 2021AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Cloudscited by 88
  38. 2021TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarioscited by 83

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