Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
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Abstract (arXiv)
Deep Neural Networks now excel at image classification, detection and segmentation. When used to scan images by means of a sliding window, however, their high computational complexity can bring even the most powerful hardware to its knees. We show how dynamic programming can speedup the process by orders of magnitude, even when max-pooling layers are present.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Feb 2013.
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Citing papers per year: 2021: 6; 2022: 3; 2023: 1; 2024: 1.
11 papers.
- 2021DeepLab2: A TensorFlow Library for Deep Labelingcited by 22
- 2021Facial Emotion Recognition: State of the Art Performance on FER2013cited by 20
- 2021Black-Box Testing of Deep Neural Networks Through Test Case Diversitycited by 18
- 2022Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classificationcited by 16
- 2022Multi-Task Meta Learning: learn how to adapt to unseen taskscited by 8
- 2021A Survey on Image Aesthetic Assessmentcited by 3
- 2022Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Predictioncited by 2
- 2021Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networkscited by 0
- 2021ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layercited by 0
- 2023Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classificationcited by 0
- 2024Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrayscited by 0
- 2024Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays19 Nov 2024
- 2023Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification22 Nov 2023
- 2022Multi-Task Meta Learning: learn how to adapt to unseen tasks13 Oct 2022
- 2022Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification21 Jul 2022
- 2022Hybrid Facial Expression Recognition (FER2013) Model for Real-Time Emotion Classification and Prediction19 Jun 2022
- 2021Black-Box Testing of Deep Neural Networks Through Test Case Diversity20 Dec 2021
- 2021DeepLab2: A TensorFlow Library for Deep Labeling17 Jun 2021
- 2021Facial Emotion Recognition: State of the Art Performance on FER20138 May 2021
- 2021ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer5 May 2021
- 2021A Survey on Image Aesthetic Assessment22 Mar 2021
- 2021Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks15 Mar 2021