Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors-Reference-Cited by-同舟云学术

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Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors

Published:2023-10-01 Issue: Volume: Page:21718-21728
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Zhong Yuanyi¹,Bhattad Anand¹,Wang Yu-Xiong¹,Forsyth David¹

Affiliation:

1. University of Illinois,Urbana-Champaign

Funder

Delta

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377940.pdf?arnumber=10377940

Reference75 articles.

1. Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

2. LocalBins: Improving Depth Estimation by Learning Local Distributions

3. Emerging Properties in Self-Supervised Vision Transformers

4. Equivariant Point Network for 3D Point Cloud Analysis

5. A simple framework for contrastive learning of visual representations;Chen

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