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Label Assignment Distillation for Object Detection

arXiv 2109.07843 ↗First posted 16 Sep 2021cs.CV cs.AIcited by 0

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Abstract (arXiv)

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Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 29 references that are in the map. First posted on arXiv 16 Sep 2021.

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23 of 29 references.

References · 23

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2015Distilling the Knowledge in a Neural Networkcited by 10,324
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  5. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  6. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  7. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  8. 2018YOLOv3: An Incremental Improvementcited by 2,659
  9. 2014FitNets: Hints for Thin Deep Netscited by 1,653
  10. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,577
  11. 2018Group Normalizationcited by 1,524
  12. 2016YOLO9000: Better, Faster, Strongercited by 1,431
11 more
  1. 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,368
  2. 2018ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Designcited by 1,136
  3. 2019Relational Knowledge Distillationcited by 889
  4. 2019Contrastive Representation Distillationcited by 748
  5. 2019Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selectioncited by 540
  6. 2013Do Deep Nets Really Need to be Deep?cited by 474
  7. 2018Rethinking ImageNet Pre-trainingcited by 377
  8. 2016UnitBox: An Advanced Object Detection Networkcited by 205
  9. 2019Distilling Object Detectors with Fine-grained Feature Imitationcited by 189
  10. 2019Feature Selective Anchor-Free Module for Single-Shot Object Detectioncited by 139
  11. 2015DenseBox: Unifying Landmark Localization with End to End Object Detectioncited by 58

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