mlsanityData to 14 Oct 2026

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles

arXiv 2206.02281 ↗First posted 5 Jun 2022cs.CVcited by 1

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Abstract (arXiv)

Unmanned Aerial Vehicles (UAVs) based video text spotting has been extensively used in civil and military domains. UAV's limited battery capacity motivates us to develop an energy-efficient video text spotting solution. In this paper, we first revisit RCNN's crop & resize training strategy and empirically find that it outperforms aligned RoI sampling on a real-world video text dataset captured by UAV. To reduce energy consumption, we further propose a multi-stage image processor that takes videos' redundancy, continuity, and mixed degradation into account. Lastly, the model is pruned and quantized before deployed on Raspberry Pi. Our proposed energy-efficient video text spotting solution, dubbed as E^2VTS, outperforms all previous methods by achieving a competitive tradeoff between energy efficiency and performance. All our codes and pre-trained models are available at https://github.com/wuzhenyusjtu/LPCVC20-VideoTextSpotting.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 32 of its 49 references that are in the map. First posted on arXiv 5 Jun 2022.

Builds on

32 of 49 references.

References · 32

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  2. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,733
  3. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  4. 2017Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networkscited by 1,328
  5. 2015An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognitioncited by 520
  6. 2019DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Bettercited by 362
  7. 2019Character Region Awareness for Text Detectioncited by 278
  8. 2017EAST: An Efficient and Accurate Scene Text Detectorcited by 248
  9. 2017Arbitrary-Oriented Scene Text Detection via Rotation Proposalscited by 176
  10. 2019Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapescited by 171
  11. 2020ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Networkcited by 170
  12. 2019Shape Robust Text Detection with Progressive Scale Expansion Networkcited by 147
20 more
  1. 2018TextBoxes++: A Single-Shot Oriented Scene Text Detectorcited by 119
  2. 2020Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spottingcited by 114
  3. 2018FOTS: Fast Oriented Text Spotting with a Unified Networkcited by 109
  4. 2016Recursive Recurrent Nets with Attention Modeling for OCR in the Wildcited by 74
  5. 2019Look More Than Once: An Accurate Detector for Text of Arbitrary Shapescited by 66
  6. 2019Convolutional Character Networkscited by 61
  7. 2018PixelLink: Detecting Scene Text via Instance Segmentationcited by 60
  8. 2019Towards Unconstrained End-to-End Text Spottingcited by 57
  9. 2017Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networkscited by 56
  10. 2018An end-to-end TextSpotter with Explicit Alignment and Attentioncited by 50
  11. 2019Arbitrary Shape Scene Text Detection with Adaptive Text Region Representationcited by 45
  12. 2020Character Region Attention For Text Spottingcited by 42
  13. 2020Context-Aware RCNN: A Baseline for Action Detection in Videoscited by 33
  14. 2018Revisiting RCNN: On Awakening the Classification Power of Faster RCNNcited by 28
  15. 2019You Only Recognize Once: Towards Fast Video Text Spottingcited by 21
  16. 2018Edit Probability for Scene Text Recognitioncited by 19
  17. 2019Towards End-to-End Text Spotting in Natural Scenescited by 19
  18. 2017Scene Text Recognition with Sliding Convolutional Character Modelscited by 7
  19. 2018Decoupled Classification Refinement: Hard False Positive Suppression for Object Detectioncited by 7
  20. 2019DAVID: Dual-Attentional Video Deblurringcited by 3

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Citing papers per year: 2024: 1.

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