Object Detection on ExDark (test)
78.3mAP (Mean Average Precision)DAI-Net
Evaluation results
| Method | Links | ||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DAI-NetBackbone=YOLOv32023.12 | 78.3 | 83.8 | 75.8 | 75.1 | 94.2 | 84.1 | 74.9 | 73.1 | 79.2 | 82.2 | 76.4 | 80.7 | 59.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GLAREDetector=YOLO-v32024.07 | 77.5 | 83.4 | 75.8 | 77.6 | 91.7 | 83.9 | 70.1 | 70 | 79.1 | 81.5 | 77.2 | 82 | 57.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IATInference Time (s)=0.042022.05 | 77.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IATDetector=YOLO-v32024.07 | 77.19 | 82.5 | 76 | 75.6 | 92.3 | 83 | 72.4 | 70.8 | 79.6 | 78.6 | 76.2 | 81.5 | 57.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Zero-DCEInference Time (s)=0.0422022.05 | 76.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KinDDetector=YOLO-v32024.07 | 76.69 | 79.7 | 77.4 | 78.8 | 92.5 | 84.9 | 70.8 | 67.5 | 78.3 | 78.7 | 77.1 | 80.9 | 53.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MBLLENDetector=YOLO-v32024.07 | 76.59 | 82.2 | 77.5 | 76.3 | 90.3 | 84.1 | 70.9 | 69.4 | 75.9 | 77.7 | 74.7 | 82 | 58.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFlowDetector=YOLO-v32024.07 | 76.44 | 81.6 | 75.5 | 74.3 | 92.5 | 84.5 | 69.7 | 69 | 75.8 | 79 | 76.5 | 80.9 | 57.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-SKFDetector=YOLO-v32024.07 | 76.43 | 80.2 | 75 | 76.6 | 91.3 | 84.7 | 69.5 | 71.1 | 76.5 | 77.5 | 76.4 | 81.1 | 57.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| base-lineInference Time (s)=0.0332022.05 | 76.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineDetector=YOLO-v32024.07 | 76.32 | 80.4 | 76.5 | 77.6 | 89.7 | 84 | 71.5 | 69.5 | 76.4 | 78.7 | 76.4 | 81.9 | 52.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MBLLENInference Time (s)=0.0862022.05 | 76.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLPFInference Time (s)=0.1382022.05 | 76.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAET (w ort)Pre-training=COCO, Orthogonality (ort)=true2022.05 | 74 | 81.3 | 71.6 | 74.5 | 89.7 | 82.1 | 69.5 | 65.5 | 72.6 | 75.4 | 72.7 | 77.4 | 53.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAETBackbone=YOLOv32023.12 | 74 | 81.3 | 71.6 | 74.5 | 89.7 | 82.1 | 69.5 | 65.5 | 72.6 | 75.4 | 72.7 | 77.4 | 53.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAET (w/o ort)Pre-training=COCO, Orthogonality (ort)=false2022.05 | 72.2 | 79.2 | 71.1 | 73 | 88.4 | 81.1 | 67.1 | 64.8 | 70.1 | 75 | 70.2 | 75.4 | 51.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Zero-DCE + YOLO (N)Enhancement Method=Zero-DCE, Backbone=YOLO (N), Pre-training=Original COCO dataset2022.05 | 72 | 79.5 | 71.3 | 70.4 | 89 | 80.7 | 68.4 | 65.7 | 68.6 | 75.4 | 67.2 | 76.2 | 51.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOn + Zero-DCEBackbone=YOLOv3, Enhancement=Zero-DCE2023.12 | 72 | 79.5 | 71.3 | 70.4 | 89 | 80.7 | 68.4 | 65.7 | 68.6 | 75.4 | 67.2 | 76.2 | 51.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLO (L)Backbone=YOLO (L), Pre-training=Original images/synthetic low-light images2022.05 | 71.6 | 78.2 | 70.8 | 72.3 | 88.1 | 80.7 | 67.9 | 62.4 | 70.5 | 74.8 | 69.4 | 75.8 | 50.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOLBackbone=YOLOv3, Training Data=Synthesized low-light images (Dark ISP)2023.12 | 71.6 | 78.2 | 70.8 | 72.3 | 88.1 | 80.7 | 67.9 | 62.4 | 70.5 | 74.8 | 69.4 | 75.8 | 50.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KIND + YOLO (N)Enhancement Method=KIND, Backbone=YOLO (N), Pre-training=Original COCO dataset2022.05 | 67.3 | 73.4 | 68.1 | 65.5 | 86.2 | 78.3 | 63 | 56.9 | 62.7 | 68.2 | 67.1 | 69.6 | 48.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOn + KinDBackbone=YOLOv3, Enhancement=KinD2023.12 | 67.3 | 73.4 | 68.1 | 65.5 | 86.2 | 78.3 | 63 | 56.9 | 62.7 | 68.2 | 67.1 | 69.6 | 48.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MBLLEN + YOLO (N)Enhancement Method=MBLLEN, Backbone=YOLO (N), Pre-training=Original COCO dataset2022.05 | 66.8 | 73.2 | 64.4 | 67.2 | 89.2 | 77 | 60.7 | 57.1 | 66.1 | 69.7 | 63.4 | 69.7 | 43.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLO (N)Backbone=YOLO (N), Pre-training=Original images/synthetic low-light images2022.05 | 62.7 | 71.8 | 64.5 | 63.9 | 81.6 | 76.8 | 55.4 | 49.7 | 56.8 | 63.8 | 61.8 | 65.7 | 40.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOnBackbone=YOLOv3, Training Data=Original well-lit images (COCO)2023.12 | 62.7 | 71.8 | 64.5 | 63.9 | 81.6 | 76.8 | 55.4 | 49.7 | 56.8 | 63.8 | 61.8 | 65.7 | 40.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LR-YOLOv8Detector=YOLOv82025.10 | 54.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LR-YOLOv10Detector=YOLOv102025.10 | 53.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FeatEnHancer→YOLOv8Detector=YOLOv8, Restoration Method=FeatEnHancer2025.10 | 51.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GDIP→YOLOv8Detector=YOLOv8, Restoration Method=GDIP2025.10 | 51.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FeatEnHancer→YOLOv10Detector=YOLOv10, Restoration Method=FeatEnHancer2025.10 | 50.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IA→YOLOv10Detector=YOLOv10, Restoration Method=IA2025.10 | 50.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOv8Detector=YOLOv8, Restoration Method=None2025.10 | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IA→YOLOv8Detector=YOLOv8, Restoration Method=IA2025.10 | 49.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv10Detector=YOLOv10, Restoration Method=LLFormer, Training Strategy=Alternating training2025.10 | 49.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv8Detector=YOLOv8, Restoration Method=Retinexformer, Training Strategy=Adversarial training2025.10 | 49.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv8Detector=YOLOv8, Restoration Method=Retinexformer, Training Strategy=Alternating training2025.10 | 49.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOv10Detector=YOLOv10, Restoration Method=None2025.10 | 49.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GDIP→YOLOv10Detector=YOLOv10, Restoration Method=GDIP2025.10 | 48.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv8Detector=YOLOv8, Restoration Method=LLFormer, Training Strategy=Alternating training2025.10 | 48.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv8Detector=YOLOv8, Restoration Method=LLFormer, Training Strategy=Adversarial training2025.10 | 47.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv10Detector=YOLOv10, Restoration Method=Retinexformer, Training Strategy=Standard2025.10 | 47.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv8Detector=YOLOv8, Restoration Method=Retinexformer, Training Strategy=Standard2025.10 | 47.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv10Detector=YOLOv10, Restoration Method=Retinexformer, Training Strategy=Alternating training2025.10 | 47.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv10Detector=YOLOv10, Restoration Method=LLFormer, Training Strategy=Adversarial training2025.10 | 47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv8Detector=YOLOv8, Restoration Method=LLFormer, Training Strategy=Standard2025.10 | 46.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LLFormer→YOLOv10Detector=YOLOv10, Restoration Method=LLFormer, Training Strategy=Standard2025.10 | 46.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Retinexformer→YOLOv10Detector=YOLOv10, Restoration Method=Retinexformer, Training Strategy=Adversarial training2025.10 | 45.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DENetTrain Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DENetP (K)=452026.04 | — | 80.9 | 79.2 | 80.1 | 90.7 | 84.5 | 70.7 | 72 | 79.3 | 80.1 | 76.7 | 82.4 | 58 | 77.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DPECDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 60 | 61.6 | 65.8 | 55.5 | 74 | 70.3 | 57.7 | 55.3 | 53.2 | 52.4 | 48.2 | 72 | 53.7 | |
| EMV-YOLOP (K)=272026.04 | — | 82.8 | 79.7 | 79.8 | 94.1 | 84.7 | 74.3 | 74.1 | 83.1 | 82.7 | 78.1 | 83.6 | 59.3 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FeatEnhancer (YOLOv3)Train Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 53.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| IA-YOLOTrain Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 48.16 | — | — | — | — | — | — | — | — | — | — | — | — | |
| IATP (K)=912026.04 | — | 79.8 | 76.9 | 78.6 | 92.5 | 83.8 | 73.6 | 72.4 | 78.6 | 79 | 79 | 81.1 | 57.7 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| KinDP (K)=80002026.04 | — | 80.9 | 75 | 75.8 | 93.3 | 82.4 | 69.4 | 69.2 | 79 | 76.9 | 76.3 | 79.6 | 55.4 | 76.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| MultinexP (K)=452026.04 | — | 81.9 | 80.1 | 77.9 | 95.2 | 86.2 | 73.7 | 75.4 | 80.3 | 82.6 | 79.6 | 84.2 | 58.5 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Multinex-NanoP (K)=0.72026.04 | — | 83.3 | 79.4 | 81.1 | 94.6 | 84.7 | 78.3 | 77.2 | 82.5 | 82.7 | 80.7 | 84.6 | 58.9 | 80.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PairLIEP (K)=3422026.04 | — | 80.8 | 78.3 | 76.8 | 90.5 | 84.5 | 66.8 | 69.1 | 75.6 | 78.9 | 73.7 | 80.3 | 54.5 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PairLIE + WARLearnTrain Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 47 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PairLIE + YOLOv3Train Data=PascalVOC train2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 42.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PE-YOLOP (K)=912026.04 | — | 84.7 | 79.2 | 79.3 | 92.5 | 83.9 | 71.5 | 71.7 | 79.7 | 79.7 | 77.3 | 81.8 | 55.3 | 78 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RetinexformerDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.7 | 66.9 | 66.5 | 54.5 | 78.4 | 69.8 | 51.5 | 53.6 | 51.8 | 51.6 | 49.4 | 70.3 | 52.1 | |
| RUASDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 55.3 | 62.8 | 62.2 | 51.4 | 71.5 | 62.2 | 51.5 | 50.1 | 45.6 | 45.1 | 48.4 | 64.5 | 48.3 | |
| SCIDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.5 | 65 | 67.5 | 54.3 | 77.3 | 70 | 56.8 | 56.2 | 52.6 | 46.6 | 47.7 | 70.2 | 50.4 | |
| SMNetDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.2 | 62.2 | 66.9 | 52.1 | 75.4 | 70.8 | 51.9 | 55 | 56.2 | 50.3 | 49.3 | 70.5 | 49.7 | |
| WARLearnTrain Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 55.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOv3Train Data=PascalVOC train2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 49.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOv3Train Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 49.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| YOLOv32026.04 | — | 79.8 | 75.3 | 78.1 | 92.3 | 83 | 68 | 69 | 79 | 78 | 77.3 | 81.5 | 55.5 | 76.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Zero-DceDetector=YOLOv8, Enhancer Training Dataset=LOLv12024.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.3 | 63 | 65.9 | 52.7 | 75.2 | 69.9 | 52.9 | 56.1 | 50.4 | 50.4 | 43.5 | 69.9 | 50 | |
| ZeroDCEP (K)=792026.04 | — | 81.2 | 75 | 75.7 | 93.4 | 83.2 | 67.7 | 70.2 | 76.4 | 74.1 | 77.7 | 81.3 | 55.5 | 75.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZeroDCE + WARLearnTrain Data=PascalVOC lowlight mixed2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 51.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZeroDCE + YOLOv3Train Data=PascalVOC train2024.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | 48.1 | — | — | — | — | — | — | — | — | — | — | — | — |