Review — SoildNet: Soiling Degradation Detection in Autonomous Driving
Original Source Here Review — SoildNet: Soiling Degradation Detection in Autonomous Driving SoildNet for Soiling Detection , Formed by Dynamic Group Convolution From ResNeXt , and Channel Reordering From ShuffleNet V1 In this story, SoildNet: Soiling Degradation Detection in Autonomous Driving , (SoildNet), by Valeo India, is reviewed. Camera sensors are extremely prone to soiling such as rain drops, snow, dust, sand, mud and so on. In this paper: SoildNet ( S and, sn O w, ra I n/d I rt, oi L , D ust/mu D ) is proposed with the use of dynamic group convolution and channel reordering , make it suitable for low power embedded systems. Soiling is detected at tile level of size 64×64 on 1280×768 input image. Clean , opaque soiling and transparent soiling are classified. This is a paper in 2019 NeurIPS Workshop . ( Sik-Ho Tsang @ Medium) AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot vi...