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05/19/2022

Understanding Gradient Descent on Edge of Stability in Deep Learning

Deep learning experiments in Cohen et al. (2021) using deterministic Gra...
05/23/2022

Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

Self-Supervised Learning (SSL) surmises that inputs and pairwise positiv...
05/11/2022

Deep Depth Completion: A Survey

Depth completion aims at predicting dense pixel-wise depth from a sparse...
05/05/2022

Do Different Deep Metric Learning Losses Lead to Similar Learned Features?

Recent studies have shown that many deep metric learning loss functions ...
05/19/2022

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The great success of deep learning heavily relies on increasingly larger...
05/11/2022

An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers

Self-supervised learning (SSL) methods such as masked language modeling ...
05/04/2022

Pik-Fix: Restoring and Colorizing Old Photos

Restoring and inpainting the visual memories that are present, but often...
05/19/2022

Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis

Graph neural networks (GNNs) are among the most powerful tools in deep l...
05/18/2022

Fast Neural Network based Solving of Partial Differential Equations

We present a novel method for using Neural Networks (NNs) for finding so...
05/10/2022

Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging

Regression that predicts continuous quantity is a central part of applic...
05/05/2022

YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression

6D object pose estimation is a crucial prerequisite for autonomous robot...