Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation

Sasi, Kiran, D. A.; Anand, Kritika; Kharyal, Chaitanya; Kumar, Gulshan; Gireesh, Nandiraju; Banerjee, Snehasis; Roychoudhury, Ruddra Dev; Sridharan, Mohan; Bhowmick, Brojeshwar; Krishna, M. Ghanashyam

doi:10.1109/case49997.2022.9926534

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“…On top of such semantic exploration, the perception skills in terms of where to look and the navigation can be further disentangled [23] for an improved success rate. Moreover, spatial relations among objects have also been formulated as graphs and embedded via Graph Convolutional Networks to guide the navigation policy [24], where external commonsense knowledge has also shown advantages for the object localisation via spatial graph learning [3].…”

Section: Related Workmentioning

confidence: 99%