196 citations · 448 across the 19 of their papers we have counts for
5 papers · 1 filter
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams +2
This paper describes Georeference Contrastive Learning of visual Representation (GeoCLR) for efficient training of deep-learning Convolutional Neural Networks (CNNs). The method le…
Language Models as Zero-shot Visual Semantic Learners
Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
Visual Semantic Embedding (VSE) models, which map images into a rich semantic embedding space, have been a milestone in object recognition and zero-shot learning. Current approache…
What Remains of Visual Semantic Embeddings
Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
Zero shot learning (ZSL) has seen a surge in interest over the decade for its tight links with the mechanism making young children recognize novel objects. Although different parad…
Object detection for crabs in top-view seabed imagery
Vlad Velici, Adam Prügel-Bennett
This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pas…
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
Visual Question Answering (VQA) models have struggled with counting objects in natural images so far. We identify a fundamental problem due to soft attention in these models as a c…