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Found 5 papers, 2 papers with code
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range.
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
In an end-to-end training, the features from both labeled and unlabeled data are optimized to be similar to same-class samples from the memory bank.
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
We introduce a novel approach to unsupervised and semi-supervised domain adaptation for semantic segmentation.
A Deep Primal-Dual Network for Guided Depth Super-Resolution
In this paper we present a novel method to increase the spatial resolution of depth images.
Variational Depth Superresolution Using Example-Based Edge Representations
Both the sparse coding and the variational superresolution of the depth are solved based on a primal-dual formulation.
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