Self-supervised Wide Baseline Visual Servoing via 3D Equivariance
Jinwook Huh,Jungseok Hong,Suveer Garg,Hyun Soo Park,Volkan Isler,Jinwook Huh,Jungseok Hong,Suveer Garg,Hyun Soo Park,Volkan Isler
One of the challenging input settings for visual servoing is when the initial and goal camera views are far apart. Such settings are difficult because the wide baseline can cause drastic changes in object appearance and cause occlusions. This paper presents a novel self-supervised visual servoing method for wide baseline images which does not require 3D ground truth supervision. Existing approache...
