no code implementations • 30 Sep 2023 • Mehfuz A Rahman, Jiju Peethambaran, Neil London
The proposed model consists of two new components: a depth guided hyper-involution that adapts dynamically based on the spatial interaction pattern in the raw depth map and an up-sampling based trainable fusion layer that combines the extracted depth and color image features without blocking the information transfer between them.