mlsanityData to 7 Oct 2026

HarDNet: A Low Memory Traffic Network

arXiv 1909.00948 ↗First posted 3 Sep 2019cs.CVcited by 76

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Abstract (arXiv)

State-of-the-art neural network architectures such as ResNet, MobileNet, and DenseNet have achieved outstanding accuracy over low MACs and small model size counterparts. However, these metrics might not be accurate for predicting the inference time. We suggest that memory traffic for accessing intermediate feature maps can be a factor dominating the inference latency, especially in such tasks as real-time object detection and semantic segmentation of high-resolution video. We propose a Harmonic Densely Connected Network to achieve high efficiency in terms of both low MACs and memory traffic. The new network achieves 35%, 36%, 30%, 32%, and 45% inference time reduction compared with FC-DenseNet-103, DenseNet-264, ResNet-50, ResNet-152, and SSD-VGG, respectively. We use tools including Nvidia profiler and ARM Scale-Sim to measure the memory traffic and verify that the inference latency is indeed proportional to the memory traffic consumption and the proposed network consumes low memory traffic. We conclude that one should take memory traffic into consideration when designing neural network architectures for high-resolution applications at the edge.

Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Sep 2019.

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Citing papers per year: 2021: 29; 2022: 23; 2023: 8; 2024: 6; 2025: 6; 2026: 4.

76 papers.

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  1. 2021SegDiff: Image Segmentation with Diffusion Probabilistic Modelscited by 279
  2. 2021Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformerscited by 159
  3. 2023Foundational Models Defining a New Era in Vision: A Survey and Outlookcited by 109
  4. 2021Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentationcited by 77
  5. 2021HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPScited by 71
  6. 2023AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encodercited by 70
  7. 2021NeoUNet: Towards accurate colon polyp segmentation and neoplasm detectioncited by 50
  8. 2021Enhanced Boundary Learning for Glass-like Object Segmentationcited by 48
  9. 2022DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognitioncited by 42
  10. 2021Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutionscited by 37
  11. 2021PaddleSeg: A High-Efficient Development Toolkit for Image Segmentationcited by 33
  12. 2022RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformercited by 31
38 more
  1. 2021Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real Worldcited by 30
  2. 2022Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completioncited by 23
  3. 2021Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistancecited by 22
  4. 2021Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopycited by 20
  5. 2022CNN Filter DB: An Empirical Investigation of Trained Convolutional Filterscited by 20
  6. 2021Visual Representation Learning for Preference-Aware Path Planningcited by 17
  7. 2021Multi-domain semantic segmentation with overlapping labelscited by 14
  8. 2022Lightweight Monocular Depth Estimation through Guided Decodingcited by 14
  9. 2021Segmenting Transparent Object in the Wild with Transformercited by 13
  10. 2022A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Surveycited by 12
  11. 2021Rethinking Dilated Convolution for Real-time Semantic Segmentationcited by 11
  12. 2022What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputscited by 11
  13. 2022BlazeNeo: Blazing fast polyp segmentation and neoplasm detectioncited by 10
  14. 2022Recent Progress in Transformer-based Medical Image Analysiscited by 9
  15. 2021Panoptic Segmentation Forecastingcited by 7
  16. 2021Semantic Scene Segmentation for Robotics Applicationscited by 7
  17. 2022Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capabilitycited by 7
  18. 2021Retrieval and Localization with Observation Constraintscited by 6
  19. 2021Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weathercited by 6
  20. 2022HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Modelcited by 6
  21. 2022HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentationcited by 6
  22. 2024YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systemscited by 6
  23. 2021Fast and Accurate Scene Parsing via Bi-direction Alignment Networkscited by 5
  24. 2022Learning Semantics-Aware Locomotion Skills from Human Demonstrationcited by 5
  25. 2024Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Surveycited by 5
  26. 2024Transformers-based architectures for stroke segmentation: A reviewcited by 5
  27. 2021Revisiting consistency for semi-supervised semantic segmentationcited by 4
  28. 2022ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connectionscited by 4
  29. 2024Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentationcited by 4
  30. 2022Efficient Convolutional Neural Networks on Raspberry Pi for Image Classificationcited by 3
  31. 2023Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challengescited by 3
  32. 2025LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Imagescited by 3
  33. 2021AI Driven Road Maintenance Inspectioncited by 2
  34. 2021New Pruning Method Based on DenseNet Network for Image Classificationcited by 2
  35. 2021Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embeddingcited by 2
  36. 2022Synthetic data for unsupervised polyp segmentationcited by 2
  37. 2022LAPFormer: A Light and Accurate Polyp Segmentation Transformercited by 2
  38. 2023Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusioncited by 2

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