9 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models
Mayank Nautiyal, Stela Arranz Gheorghe, Kristiana Stefa +3
Language-guided attention frameworks have significantly enhanced both interpretability and performance in image classification; however, the reliance on deterministic embeddings fr…
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields
Ankit Gupta, Ida-Maria Sintorn
Template matching is a fundamental problem in computer vision with applications in fields including object detection, image registration, and object tracking. Current methods rely…
Interpreting deep learning output for out-of-distribution detection
Damian Matuszewski, Ida-Maria Sintorn
Commonly used AI networks are very self-confident in their predictions, even when the evidence for a certain decision is dubious. The investigation of a deep learning model output…
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
Ankit Gupta, Ida-Maria Sintorn
Attention Branch Networks (ABNs) have been shown to simultaneously provide visual explanation and improve the performance of deep convolutional neural networks (CNNs). In this work…