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Beyond dehazing: Learning intrinsic hazy robustness for aerial object detection
Accurate object detection in aerial imagery is crucial across numerous applications.
However, haze can significantly degrade the performance of normal detectors, presenting a …
However, haze can significantly degrade the performance of normal detectors, presenting a …
Dynamic Feature Focusing Network for small object detection
R **g, W Zhang, Y Li, W Li, Y Liu - Information Processing & Management, 2024 - Elsevier
Deep learning has driven research in object detection and achieved proud results. Despite
its significant advancements in object detection, small object detection still struggles with low …
its significant advancements in object detection, small object detection still struggles with low …
Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery
Satellite imagery, due to its long-range imaging, brings with it a variety of scale-preferred
tasks, such as the detection of tiny/small objects, making the precise localization and …
tasks, such as the detection of tiny/small objects, making the precise localization and …
Cross-Modal Adaptation for Object Detection in Thermal InfraRed Remote Sensing Imagery
Modern Thermal InfraRed (TIR) technology has been proven highly significant in Remote
Sensing Imagery (RSI). Currently, multimodal RSI object detection based on RGB-TIR image …
Sensing Imagery (RSI). Currently, multimodal RSI object detection based on RGB-TIR image …