Adaptive NMS: Refining Pedestrian Detection in a Crowd

Liu, Songtao, Huang, Di, Wang, Yunhong·2019·2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (414)

Items 101–200 of 414

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  2. Occluded Pedestrian Detection via Distribution-Based Mutual-Supervised Feature Learning
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  11. A neural network–based approach for fill factor estimation and bucket detection on construction vehicles
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  12. Introspective False Negative Prediction for Black-Box Object Detectors in Autonomous Driving
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  19. Fuzzy-NMS: Improving 3D Object Detection With Fuzzy Classification in NMS
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  27. CFRLA-Net: A Context-Aware Feature Representation Learning Anchor-Free Network for Pedestrian Detection
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  31. Adapted Center and Scale Prediction: More Stable and More Accurate
    Wenhao Wang, Zhang, Jusheng · 2020 · arXiv (Cornell University)
  32. EOOD: End-to-end oriented object detection
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  33. Enhanced Multi-Task Learning Architecture for Detecting Pedestrian at Far Distance
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  34. ANMS: attention-based non-maximum suppression
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  36. Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection
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  37. Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data
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  38. Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes
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  39. Urban scene based Semantical Modulation for Pedestrian Detection
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  40. Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
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  41. Object detection in crowded scenes via joint prediction
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  42. Selection of object detections using overlap map predictions
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  46. BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
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  47. Double Mask R-CNN for Pedestrian Detection in a Crowd
    Congqiang Liu, Haosen Wang, Chunjian Liu · 2022 · Mobile Information Systems
  48. Impartial Differentiable Automatic Data Augmentation Based on Finite Difference Approximation for Pedestrian Detection
    Shirui Zhou, Yi Tang, Min Liu, Yaonan Wang, He Wen · 2022 · IEEE Transactions on Instrumentation and Measurement
  49. Robust Object Detection Using Knowledge Graph Embeddings
    Christopher Lang, Alexander Braun, Abhinav Valada · 2022 · Lecture notes in computer science
  50. Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
    Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih‐Fu Chang · 2020 · arXiv (Cornell University)
  51. Body-Part Joint Detection and Association via Extended Object Representation
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  52. OADB-Net: An Occlusion-Aware Dual-Branch Network for Pedestrian Detection
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  53. Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping
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  54. Fast and Lightweight Online Person Search for Large-Scale Surveillance Systems
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  55. Multi-Object Detection in Security Screening Scene Based on Convolutional Neural Network
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  56. DDAD: Detachable Crowd Density Estimation Assisted Pedestrian Detection
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  57. Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
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