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20182025
most citedScale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation

15 citations · 15 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV

Jaime Spencer, Chris Russell, Simon Hadfield +1

Self-supervised monocular depth estimation (SS-MDE) has the potential to scale to vast quantities of data. Unfortunately, existing approaches limit themselves to the automotive dom…

cs.CV2023

The Second Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Michaela Trescakova +40

This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…