mlsanityData to 7 Oct 2026

End-to-End United Video Dehazing and Detection

arXiv 1709.03919 ↗First posted 12 Sep 2017cs.CV cs.AI cs.LGcited by 24

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Abstract (arXiv)

The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been explored yet. In this paper, we propose an End-to-End Video Dehazing Network (EVD-Net), to exploit the temporal consistency between consecutive video frames. A thorough study has been conducted over a number of structure options, to identify the best temporal fusion strategy. Furthermore, we build an End-to-End United Video Dehazing and Detection Network(EVDD-Net), which concatenates and jointly trains EVD-Net with a video object detection model. The resulting augmented end-to-end pipeline has demonstrated much more stable and accurate detection results in hazy video.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 2; 2023: 5; 2024: 7; 2025: 3; 2026: 2.

24 papers.

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  1. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
  2. 2021Learning to Resize Images for Computer Vision Taskscited by 45
  3. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  4. 2023Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Priorcited by 22
  5. 2024Self-Supervised Video Desmoking for Laparoscopic Surgerycited by 10
  6. 2022A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truthcited by 9
  7. 2024Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistancecited by 8
  8. 2024Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Videocited by 8
  9. 2021Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoningcited by 6
  10. 2022Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstructioncited by 4
  11. 2023Reliable Image Dehazing by NeRFcited by 4
  12. 2023MULLER: Multilayer Laplacian Resizer for Visioncited by 4
12 more
  1. 2021Progressive Deep Video Dehazing without Explicit Alignment Estimationcited by 3
  2. 2023RB-Dust -- A Reference-based Dataset for Vision-based Dust Removalcited by 3
  3. 2025From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performancecited by 3
  4. 2024DiffLoss: unleashing diffusion model as constraint for training image restoration networkcited by 2
  5. 2024LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Datasetcited by 2
  6. 2024Haze-Aware Attention Network for Single-Image Dehazingcited by 1
  7. 2025ADAM-Dehaze: Adaptive Density-Aware Multi-Stage Dehazing for Improved Object Detection in Foggy Conditionscited by 1
  8. 2025Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportationcited by 1
  9. 2026LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazingcited by 1
  10. 2021A GAN-Based Input-Size Flexibility Model for Single Image Dehazingcited by 0
  11. 2024Parallel Cross Strip Attention Network for Single Image Dehazingcited by 0
  12. 2026Bridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillancecited by 0