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Task-Driven Super Resolution: Object Detection in Low-resolution Images

arXiv 1803.11316 ↗First posted 30 Mar 2018cs.CVcited by 52

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Abstract (arXiv)

We consider how image super resolution (SR) can contribute to an object detection task in low-resolution images. Intuitively, SR gives a positive impact on the object detection task. While several previous works demonstrated that this intuition is correct, SR and detector are optimized independently in these works. This paper proposes a novel framework to train a deep neural network where the SR sub-network explicitly incorporates a detection loss in its training objective, via a tradeoff with a traditional detection loss. This end-to-end training procedure allows us to train SR preprocessing for any differentiable detector. We demonstrate that our task-driven SR consistently and significantly improves accuracy of an object detector on low-resolution images for a variety of conditions and scaling factors.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Mar 2018.

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Citing papers per year: 2021: 7; 2022: 11; 2023: 8; 2024: 13; 2025: 6; 2026: 7.

52 papers.

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  1. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 119
  2. 2023CoSeR: Bridging Image and Language for Cognitive Super-Resolutioncited by 66
  3. 2021Real-World Single Image Super-Resolution: A Brief Reviewcited by 65
  4. 2024Towards Realistic Data Generation for Real-World Super-Resolutioncited by 56
  5. 2022SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagerycited by 46
  6. 2021Learning to Resize Images for Computer Vision Taskscited by 45
  7. 2023COCO-O: A Benchmark for Object Detectors under Natural Distribution Shiftscited by 34
  8. 20213D Human Pose, Shape and Texture from Low-Resolution Images and Videoscited by 26
  9. 2022No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objectscited by 26
  10. 2024Task-driven Image Fusion with Learnable Fusion Losscited by 24
  11. 2024Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Losscited by 17
  12. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14
38 more
  1. 2022Global Learnable Attention for Single Image Super-Resolutioncited by 13
  2. 2021Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomcited by 7
  3. 2023Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Imagescited by 7
  4. 2025Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysiscited by 7
  5. 2025Exploiting Diffusion Prior for Task-driven Image Restorationcited by 7
  6. 2021AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systemscited by 6
  7. 2022AccMPEG: Optimizing Video Encoding for Video Analyticscited by 6
  8. 2022Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detectioncited by 6
  9. 2023Restore Anything Pipeline: Segment Anything Meets Image Restorationcited by 6
  10. 2022ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localizationcited by 5
  11. 2024Small Object Few-shot Segmentation for Vision-based Industrial Inspectioncited by 5
  12. 2024Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Imagescited by 5
  13. 2023MULLER: Multilayer Laplacian Resizer for Visioncited by 4
  14. 2023An Adaptive Plug-and-Play Network for Few-Shot Learningcited by 2
  15. 2023A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawingscited by 2
  16. 2024FriendNet: Detection-Friendly Dehazing Networkcited by 2
  17. 2025MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Resultscited by 2
  18. 2026TaskTok: Delving into Task Tokens for Task-driven Image Restorationcited by 2
  19. 2021Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolutioncited by 1
  20. 2023Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Imagescited by 1
  21. 2024Inpainting-Driven Mask Optimization for Object Removalcited by 1
  22. 2024Burst Image Super-Resolution with Base Frame Selectioncited by 1
  23. 2024Task-driven single-image super-resolution reconstruction of document scanscited by 1
  24. 2024DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detectioncited by 1
  25. 2026The Double-Edged Sword of Data-Driven Super-Resolution: Adversarial Super-Resolution Modelscited by 1
  26. 2026Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspectioncited by 1
  27. 2021Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognitioncited by 0
  28. 2022RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Imagescited by 0
  29. 2022A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Informationcited by 0
  30. 2022Person Detection Using an Ultra Low-resolution Thermal Imager on a Low-cost MCUcited by 0
  31. 2024NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTIcited by 0
  32. 2024Depth Estimation fusing Image and Radar Measurements with Uncertain Directionscited by 0
  33. 2024Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Imagescited by 0
  34. 2025Toward task-driven satellite image super-resolutioncited by 0
  35. 2025Task-driven real-world super-resolution of document scanscited by 0
  36. 2025Efficient Cost-and-Quality Controllable Arbitrary-scale Super-resolution with Fourier Constraintscited by 0
  37. 2026Detail Loss in Super-Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Processcited by 0
  38. 2026Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priorscited by 0

50 most cited of 52 All 52 (JSON)