The official PyTorch implementation of the IEEE/CVF Computer Vision and Pattern Recognition (CVPR) '24 paper PREGO: online mistake detection in PRocedural EGOcentric videos.
☆34Jun 9, 2025Updated last year
Alternatives and similar repositories for PREGO
Users that are interested in PREGO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation of Error Detection in Egocentric Procedural Task Videos☆36Sep 20, 2025Updated 10 months ago
- ☆30Aug 19, 2024Updated last year
- Code implementation for our ECCV, 2022 paper titled "My View is the Best View: Procedure Learning from Egocentric Videos"☆35Feb 5, 2024Updated 2 years ago
- Data release for Step Differences in Instructional Video (CVPR24)☆15Jun 19, 2024Updated 2 years ago
- Official code repository for "Video-Mined Task Graphs for Keystep Recognition in Instructional Videos" arXiv, 2023☆15Apr 1, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code and models for the Action Recognition benchmark of Assembly101☆15Mar 26, 2023Updated 3 years ago
- Code and data release for the paper "Learning Object State Changes in Videos: An Open-World Perspective" (CVPR 2024)☆37Sep 9, 2024Updated last year
- Python scripts to download Assembly101 from Google Drive☆79May 16, 2026Updated 2 months ago
- [CVPR 2024] KEPP: Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos☆12Sep 24, 2024Updated last year
- ☆15Dec 6, 2023Updated 2 years ago
- ☆12Apr 6, 2023Updated 3 years ago
- Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"☆25Nov 26, 2024Updated last year
- Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos☆38Sep 9, 2024Updated last year
- Official code implemtation of paper AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?☆31Sep 23, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The official PyTorch implementation of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024 paper Hyp²Nav:…☆18Oct 29, 2024Updated last year
- [ECCV 2024] EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval☆41Apr 11, 2025Updated last year
- 🔍 Explore Egocentric Vision: research, data, challenges, real-world apps. Stay updated & contribute to our dynamic repository! Work-in-p…☆143Apr 14, 2026Updated 3 months ago
- Code and data release for the paper "Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Align…☆19Apr 5, 2024Updated 2 years ago
- Implements the loss used in A. Furnari, S. Battiato, G. M. Farinella (2018). Leveraging Uncertainty to Rethink Loss Functions and Evaluat…☆12May 22, 2019Updated 7 years ago
- [CVPR 2024] Data and benchmark code for the EgoExoLearn dataset☆86Aug 26, 2025Updated 11 months ago
- Multimodal Large Models Are Effective Action Anticipators （IEEE TMM）🌳☆27Aug 15, 2025Updated 11 months ago
- Repository containing the code used for running the experiments of the Poincare ResNet paper☆29Aug 25, 2023Updated 2 years ago
- (CVPR 2023) Official implemention of the paper "Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos…☆32Apr 2, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆28Jul 18, 2025Updated last year
- COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark☆15Aug 22, 2024Updated last year
- The official PyTorch implementation of the IEEE/CVF CVPR Visual Anomaly and Novelty Detection (VAND) Workshop paper Are we certain it's a…☆26Dec 6, 2023Updated 2 years ago
- (ECCV 2024) Official repository of paper "EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding"☆38Apr 8, 2025Updated last year
- [ECCV 2020] Temporal Aggregate Representations for Long-Range Video Understanding☆11Sep 13, 2021Updated 4 years ago
- ActorObserverNet code in PyTorch from "Actor and Observer: Joint Modeling of First and Third-Person Videos", CVPR 2018☆84Mar 8, 2019Updated 7 years ago
- [NeurIPS 2022] Egocentric Video-Language Pretraining☆261May 9, 2024Updated 2 years ago
- Code for the paper "GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos" published at CVPR 2024☆54Mar 3, 2024Updated 2 years ago
- End to End Streaming Video Temporal Segmentation☆38Mar 10, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities (NeurIPS 2023)☆62Apr 15, 2024Updated 2 years ago
- HT-Step is a large-scale article grounding dataset of temporal step annotations on how-to videos☆26Mar 20, 2024Updated 2 years ago
- The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Condit…☆93May 17, 2026Updated 2 months ago
- This repository contains the official implementation, data generation tools, and benchmark datasets for our research on synthetic data fo…☆15Apr 1, 2026Updated 4 months ago
- Code implementation for paper titled "HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision"☆30Apr 16, 2024Updated 2 years ago
- The MECCANO Dataset: official repository in which we provide code and models.☆32Jul 31, 2023Updated 3 years ago
- [ICCV 2023] How Much Temporal Long-Term Context is Needed for Action Segmentation?☆50Jun 21, 2024Updated 2 years ago