PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture

• URL: http://arxiv.org/abs/2306.14650v2
• Date: Wed, 28 Jun 2023 08:22:14 GMT
• Title: PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture
• Authors: Mohit Vaishnav
• Abstract summary: We analyze Transformer-based self-attention as a model and extend it with memory. We propose GAMR, a cognitive architecture combining attention and memory, inspired by active vision theory.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We investigate the role of attention and memory in complex reasoning tasks. We analyze Transformer-based self-attention as a model and extend it with memory. By studying a synthetic visual reasoning test, we refine the taxonomy of reasoning tasks. Incorporating self-attention with ResNet50, we enhance feature maps using feature-based and spatial attention, achieving efficient solving of challenging visual reasoning tasks. Our findings contribute to understanding the attentional needs of SVRT tasks. Additionally, we propose GAMR, a cognitive architecture combining attention and memory, inspired by active vision theory. GAMR outperforms other architectures in sample efficiency, robustness, and compositionality, and shows zero-shot generalization on new reasoning tasks.

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