2022
TransDSSL: Transformer Based Depth Estimation via Self-Supervised Learning
RA-L 2022
Recently, transformers have been widely adopted for various computer vision tasks and show promising results due to their ability to encode long-range spatial dependencies in an image effectively. However, very few studies on adopting transformers in self-supervised depth estimation have been conduc