Official repo of the paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"
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Updated
Jun 13, 2024
Official repo of the paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"
Awesome papers & datasets specifically focused on long-term videos.
Video Foundation Models & Data for Multimodal Understanding
Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track
Keras Implementation of Video Swin Transformers for 3D Video Modeling
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Summary about Video-to-Text datasets. This repository is part of the review paper *Bridging Vision and Language from the Video-to-Text Perspective: A Comprehensive Review*
[AAAI 2023] AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
Official This-Is-My Dataset published in CVPR 2023
SoccerAct10 is a dataset which contains 10 different soccer actions. This dataset was developed using the videos from YouTube.
Trailers12k is a video movie trailer dataset composed of 12,000 titles associated to 10 genres. It distinguishes from other datasets by its collection procedure aiming to provide a high-quality publicly available dataset.
Improving Transfer Learning with a Dual Image and Video Transformer for Multi-label Movie Trailer Genre Classification
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️👁️ The video:animation:anime category for AI2001, containing Aime video datasets
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️🌳️ The video:nature category for AI2001, containing nature video datasets
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️🕹️ The video:gameplay category for AI2001, containing gameplay video datasets
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️📸️ The video:photography category for AI2001, containing photography video datasets
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📽️ The video category for AI2001, containing video datasets
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
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