mlsanityData to 13 Oct 2026

Receptive Field Block Net for Accurate and Fast Object Detection

arXiv 1711.07767 ↗First posted 21 Nov 2017cs.CVcited by 140

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Abstract (arXiv)

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs. Conversely, some lightweight model based detectors fulfil real time processing, while their accuracies are often criticized. In this paper, we explore an alternative to build a fast and accurate detector by strengthening lightweight features using a hand-crafted mechanism. Inspired by the structure of Receptive Fields (RFs) in human visual systems, we propose a novel RF Block (RFB) module, which takes the relationship between the size and eccentricity of RFs into account, to enhance the feature discriminability and robustness. We further assemble RFB to the top of SSD, constructing the RFB Net detector. To evaluate its effectiveness, experiments are conducted on two major benchmarks and the results show that RFB Net is able to reach the performance of advanced very deep detectors while keeping the real-time speed. Code is available at https://github.com/ruinmessi/RFBNet.

Key facts. Cited by 140 papers in the map (data through 13 Oct 2026). First posted on arXiv 21 Nov 2017.

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Citing papers per year: 2021: 42; 2022: 33; 2023: 23; 2024: 15; 2025: 18; 2026: 9.

140 papers.

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  1. 2021Concealed Object Detectioncited by 212
  2. 2021nnFormer: Interleaved Transformer for Volumetric Segmentationcited by 180
  3. 2021OTA: Optimal Transport Assignment for Object Detectioncited by 177
  4. 2023A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAScited by 150
  5. 2022Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalizationcited by 122
  6. 2021TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarioscited by 83
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  8. 2021Progressively Normalized Self-Attention Network for Video Polyp Segmentationcited by 75
  9. 2021HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPScited by 71
  10. 2024SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentationcited by 64
  11. 2021UACANet: Uncertainty Augmented Context Attention for Polyp Segmentationcited by 61
  12. 2022Accelerating DETR Convergence via Semantic-Aligned Matchingcited by 58
38 more
  1. 2022NeRF-RPN: A general framework for object detection in NeRFscited by 46
  2. 2024Frequency-Spatial Entanglement Learning for Camouflaged Object Detectioncited by 46
  3. 2021BANet: Blur-aware Attention Networks for Dynamic Scene Deblurringcited by 45
  4. 2023Frequency Perception Network for Camouflaged Object Detectioncited by 37
  5. 2021TRACER: Extreme Attention Guided Salient Object Tracing Networkcited by 32
  6. 2022Designing Network Design Strategies Through Gradient Path Analysiscited by 32
  7. 2023HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awarenesscited by 31
  8. 2021CCTrans: Simplifying and Improving Crowd Counting with Transformercited by 30
  9. 2022Real-time Object Detection for Streaming Perceptioncited by 30
  10. 2021GAIA: A Transfer Learning System of Object Detection that Fits Your Needscited by 27
  11. 2024Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attentioncited by 26
  12. 2023Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advancescited by 20
  13. 2023Referring Camouflaged Object Detectioncited by 19
  14. 2022Multi-Scale Adaptive Network for Single Image Denoisingcited by 17
  15. 2021Circle Representation for Medical Object Detectioncited by 15
  16. 2022YOLO-FaceV2: A Scale and Occlusion Aware Face Detectorcited by 15
  17. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14
  18. 2021Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learningcited by 12
  19. 2022Robust RGB-D Fusion for Saliency Detectioncited by 12
  20. 2021Reconcile Prediction Consistency for Balanced Object Detectioncited by 11
  21. 2021GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentationcited by 11
  22. 2022Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation Systemcited by 11
  23. 2021Variational Pedestrian Detectioncited by 10
  24. 2022BlazeNeo: Blazing fast polyp segmentation and neoplasm detectioncited by 10
  25. 2022MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentationcited by 10
  26. 2022Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectorscited by 10
  27. 2022Progressive Glass Segmentationcited by 10
  28. 2024GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detectioncited by 10
  29. 2022ASFD: Automatic and Scalable Face Detectorcited by 9
  30. 2023Is Underwater Image Enhancement All Object Detectors Need?cited by 9
  31. 2021Modality-Guided Subnetwork for Salient Object Detectioncited by 8
  32. 2022Large-Field Contextual Feature Learning for Glass Detectioncited by 8
  33. 2023Building Extraction from Remote Sensing Images via an Uncertainty-Aware Networkcited by 8
  34. 2021Few-Shot Video Object Detectioncited by 7
  35. 2022Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusioncited by 7
  36. 2022Precise Single-stage Detectorcited by 7
  37. 2024United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Imagescited by 7
  38. 2021Convolutional Neural Networks with Gated Recurrent Connectionscited by 6

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