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Found 7 papers, 6 papers with code
Vocabulary-free Image Classification and Semantic Segmentation
To address VIC, we propose Category Search from External Databases (CaSED), a training-free method that leverages a pre-trained vision-language model and an external database.
Socially Pertinent Robots in Gerontological Healthcare
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary.
Test-Time Zero-Shot Temporal Action Localization
To this aim, we introduce a novel method that performs Test-Time adaptation for Temporal Action Localization (T3AL).
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation
Source-Free Video Unsupervised Domain Adaptation (SFVUDA) task consists in adapting an action recognition model, trained on a labelled source dataset, to an unlabelled target dataset, without accessing the actual source data.
Vocabulary-free Image Classification
We thus formalize a novel task, termed as Vocabulary-free Image Classification (VIC), where we aim to assign to an input image a class that resides in an unconstrained language-induced semantic space, without the prerequisite of a known vocabulary.
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
Automatically understanding emotions from visual data is a fundamental task for human behaviour understanding.
Cross-Domain Facial Expression Recognition
Facial Expression Recognition (FER)
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Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss
Our method, as being based on contrastive loss between pairwise modalities, is the first attempt in MER literature.
Cultural Vocal Bursts Intensity Prediction
Multimodal Emotion Recognition
