How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
This is a PyTorch self-supervised learning framework designed to train models that learn visual representations from video. It implements a joint-embedding predictive architecture that extracts spatio-temporal features by predicting missing regions of a signal within a latent representation space rather than reconstructing raw pixels. The project includes a latent space visualization tool that uses a conditional diffusion model to decode feature-space predictions back into pixels. This allows for the verification of learned representations by transforming abstract predictions into interpretab
This code implements the video- and sensor-based action segmentation models from Temporal Convolutional Networks for Action Segmentation and Detection by Colin Lea, Michael Flynn, Rene Vidal, Austin Reiter, Greg Hager arXiv 2016 (in-review).
NeurIPS 2021 Spotlight Official implementation of Long Short-Term Transformer for Online Action Detection
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
The main features of liusifei/uvc are: Video Representation Learning.
Projects with overlapping indexed features include: facebookresearch/jepa — This is a PyTorch self-supervised learning framework designed to train models that learn visual representations from… bestjuly/iic. colincsl/temporalconvolutionalnetworks — This code implements the video- and sensor-based action segmentation models from Temporal Convolutional Networks for… decisionforce/vthcl. deepmind/kinetics-i3d — Convolutional neural network model for video classification trained on the Kinetics dataset. amazon-research/long-short-term-transformer — [NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection.