Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background 事件

Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background arXiv:2606.13587v1 Announce Type: new Abstract: Rapid expansion of urban areas and population growth is causing an immense increase in waste production, which demands the need for efficient and automated waste management. In this scenario, automated waste recycling (AWR) using deep learning methods can assist humans in optimal waste management. Recent deep learning approaches for AWR provide promising was