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Found 7 papers, 4 papers with code
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan
The Face-voice Association in Multilingual Environments (FAME) Challenge 2024 focuses on exploring face-voice association under a unique condition of multilingual scenario.
Classification of Potholes Based on Surface Area Using Pre-Trained Models of Convolutional Neural Network
The classification of images taken at the height of 2 feet has an accuracy value of 87. 33%, 88. 67%, and 92% for classifying the large, small, and normal pavement, respectively.
Single-branch Network for Multimodal Training
With the rapid growth of social media platforms, users are sharing billions of multimedia posts containing audio, images, and text.
Speaker Recognition in Realistic Scenario Using Multimodal Data
To achieve this task, we proposed a two-branch network to learn joint representations of faces and voices in a multimodal system.
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association
In addition, we leverage cross-modal verification and matching tasks to analyze the impact of multiple languages on face-voice association.
Fusion and Orthogonal Projection for Improved Face-Voice Association
Prior works adopt pairwise or triplet loss formulations to learn an embedding space amenable for associated matching and verification tasks.
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Recent years have seen a surge in finding association between faces and voices within a cross-modal biometric application along with speaker recognition.
