2026
Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background
ICML 2026poster
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) that utilizes deep learning methods to separate the recyclable waste objects…