A survey on image enhancement for Low-light images
In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …
Comparison of CNN-based models for pothole detection in real-world adverse conditions: overview and evaluation
Potholes pose a significant problem for road safety and infrastructure. They can cause
damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect …
damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect …
Image enhancement guided object detection in visually degraded scenes
H Liu, F Jin, H Zeng, H Pu, B Fan - IEEE transactions on neural …, 2023 - ieeexplore.ieee.org
Object detection accuracy degrades seriously in visually degraded scenes. A natural
solution is to first enhance the degraded image and then perform object detection. However …
solution is to first enhance the degraded image and then perform object detection. However …
SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection
Abstract Domain adaptive object detection (DAOD) aims to alleviate transfer performance
degradation caused by the cross-domain discrepancy. However, most existing DAOD …
degradation caused by the cross-domain discrepancy. However, most existing DAOD …
Detection-friendly dehazing: Object detection in real-world hazy scenes
Adverse weather conditions in real-world scenarios lead to performance degradation of
deep learning-based detection models. A well-known method is to use image restoration …
deep learning-based detection models. A well-known method is to use image restoration …
IDOD-YOLOV7: Image-dehazing YOLOV7 for object detection in low-light foggy traffic environments
Y Qiu, Y Lu, Y Wang, H Jiang - Sensors, 2023 - mdpi.com
Convolutional neural network (CNN)-based autonomous driving object detection algorithms
have excellent detection results on conventional datasets, but the detector performance can …
have excellent detection results on conventional datasets, but the detector performance can …
Object detection in adverse weather for autonomous driving through data merging and YOLOv8
D Kumar, N Muhammad - Sensors, 2023 - mdpi.com
For autonomous driving, perception is a primary and essential element that fundamentally
deals with the insight into the ego vehicle's environment through sensors. Perception is …
deals with the insight into the ego vehicle's environment through sensors. Perception is …
Rethinking image restoration for object detection
Although image restoration has achieved significant progress, its potential to assist object
detectors in adverse imaging conditions lacks enough attention. It is reported that the …
detectors in adverse imaging conditions lacks enough attention. It is reported that the …
Featenhancer: Enhancing hierarchical features for object detection and beyond under low-light vision
KA Hashmi, G Kallempudi… - Proceedings of the …, 2023 - openaccess.thecvf.com
Extracting useful visual cues for the downstream tasks is especially challenging under low-
light vision. Prior works create enhanced representations by either correlating visual quality …
light vision. Prior works create enhanced representations by either correlating visual quality …
DENet: detection-driven enhancement network for object detection under adverse weather conditions
Q Qin, K Chang, M Huang, G Li - Proceedings of the Asian …, 2022 - openaccess.thecvf.com
Recently, the deep learning-based object detection methods have achieved a great
success. However, the performance of such techniques deteriorates on the images captured …
success. However, the performance of such techniques deteriorates on the images captured …