This work proposes the BayerDetect network, an end-to-end deep object detection framework that aims to achieve fast, accurate, and memory-efficient object ...
Jul 29, 2021 · This paper presents an end-to-end object-detection accelerator that processes raw Bayer images to generate detection results.
This research introduces a pioneering approach in computer vision, particularly in object detection under non-ideal conditions such as low light, adverse ...
Based on the ROD dataset, we investigate the impact of dynamic range on object detection and propose a method for effective detection on RAW sen- sor data.
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This method weights the former two frames of start frame, models initial background, then subtracts current frames and background frame, divides difference ...
Aug 1, 2023 · This work demonstrates that Bayer data can be used for object detection in automotive without significant performance loss, and that the ...
Aug 4, 2024 · The effectiveness of RAW images in dense object detection is demonstrated in the proposed fusion experiments. The literature on using RAW ...
... RAW Bayer images (from the image sensor) can be directly fed to object detection algorithms without image processing. By skipping the ISP pipeline, both ...
Image sensors commonly collect RAW data in a one-channel Bayer pattern [2,22], ... as image classification or object detection – are based on RGB image inputs.