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Found 3 papers, 2 papers with code
Learning Object Semantic Similarity with Self-Supervision
To achieve this, the model exploits two distinct strategies: the visuo-language alignment ensures that different objects of the same category are represented similarly, whereas the temporal alignment leverages that objects from the same context are frequently seen in succession to make their representations more similar.
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
For this we propose a computational model of visual representation learning during dyadic play.
Analyzing Vision Transformers for Image Classification in Class Embedding Space
Inspired by previous research in NLP, we demonstrate how the inner representations at any level of the hierarchy can be projected onto the learned class embedding space to uncover how these networks build categorical representations for their predictions.
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