computer-vision-4
GZSL Video Classification
3260 papers • 126 benchmarks • 313 datasets
Audio-visual zero-shot learning aims to recognize unseen categories based on paired audio-visual sequences.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in gzsl-video-classification-4
Trend
Dataset
Best Model
Actions
UCF-GZSL(main)
UCF-GZSL(main)
VGGSound-GZSL(main)
VGGSound-GZSL(main)
ActivityNet-GZSL(main)
Libraries
iUse these libraries to find gzsl-video-classification-4 models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
Temporal and cross-modal attention for audio-visual zero-shot learning
Zeynep Akata, A. S. Koepke, Thomas Hummel, Otniel-Bogdan Mercea•Tue Jul 19 2022
It is shown that the proposed framework that ingests temporal features yields state-of-the-art performance on the \ucf, \vgg, and \activity benchmarks for (generalised) zero-shot learning.
32
