Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
MRH Taher, MB Gotway… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep
learning excels in learning multi-level feature spaces but they often lack explicit coding of …
learning excels in learning multi-level feature spaces but they often lack explicit coding of …
Hierarchical Vector Quantization for Unsupervised Action Segmentation
In this work, we address unsupervised temporal action segmentation, which segments a set
of long, untrimmed videos into semantically meaningful segments that are consistent across …
of long, untrimmed videos into semantically meaningful segments that are consistent across …
Predictive Attractor Models
Sequential memory, the ability to form and accurately recall a sequence of events or stimuli
in the correct order, is a fundamental prerequisite for biological and artificial intelligence as it …
in the correct order, is a fundamental prerequisite for biological and artificial intelligence as it …
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions
T Clark, B Cevoli, E de Jong, T Abramski… - arXiv preprint arXiv …, 2024 - arxiv.org
Self-supervised learning (SSL) models have become crucial in speech processing, with
recent advancements concentrating on developing architectures that capture …
recent advancements concentrating on developing architectures that capture …
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos
This work addresses the problem of Social Activity Recognition (SAR), a critical component
in real-world tasks like surveillance and assistive robotics. Unlike traditional event …
in real-world tasks like surveillance and assistive robotics. Unlike traditional event …
About Time: Advances, Challenges, and Outlooks of Action Understanding
A Stergiou, R Poppe - arXiv preprint arXiv:2411.15106, 2024 - arxiv.org
We have witnessed impressive advances in video action understanding. Increased dataset
sizes, variability, and computation availability have enabled leaps in performance and task …
sizes, variability, and computation availability have enabled leaps in performance and task …
[PDF][PDF] Supplementary Materials for Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from …
Supplementary Materials for Representing Part-Whole Hierarchies in Foundation Models by
Learning Localizability, Composability, Page 1 Supplementary Materials for Representing …
Learning Localizability, Composability, Page 1 Supplementary Materials for Representing …