Some Salient Issues with Saliency Models | AISC

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
22,300
Published on ● Video Link: https://www.youtube.com/watch?v=3yLe2js1LRY


Duration: 45:31
226 views
3

For slides and more information on the paper, visit https://ai.science/e/saliency-some-salient-issues-with-saliency-models--FuU9Y6bnJ00uSf3fHawa

Speaker: Calden Wloka; Host: Mahdi Biparva

Motivation:
Deep learning has come to dominate many areas of artificial intelligence. Given sufficient training data, deep learning provides unparalleled pattern matching over even the extremely high dimensional data involved in visual processing, and thus deep learning has become the basis for many state-of-the-art approaches in the field of computer vision. Despite this widespread success, however, it is important to consider whether deep learning approaches are always solving the tasks we would like them to be. Using the domain of visual saliency modeling as an example, I will highlight two major challenges facing deep learning applications in computer vision: data-fitting alone is not always sufficient, and the need to be able to relate enclosed deep learning models to broader models of vision.



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2020-10-23A Fireside Chat with AISC NLP experts
2020-10-22Machine Learning in Environmental Science and Prediction: An Overview | AISC
2020-10-22Battery Modelling using Data-Driven Machine Learning | AISC
2020-10-21BERTology Meets Biology: Interpreting Attention in Protein Language Models | AISC
2020-10-20Design for Augmentation (not Automation) | AISC
2020-10-16Genomics with Deep Learning: A Concise Overview | AISC
2020-10-15Designing quantum computers with generative models | AISC
2020-10-15Explainable AI for Time Series - Literature Review | AISC
2020-10-15Towards a Critical Race Methodology in Algorithmic Fairness | AISC
2020-10-14An eye on AI in Healthcare | AISC
2020-10-13Some Salient Issues with Saliency Models | AISC
2020-10-13The Messy Side of AI Products | AISC
2020-10-09Human Aware AI: Reducing Transportation Energy of a City by Influencing Individual Behaviour
2020-10-08Policy Priority Inference: Simulations for Government Strategy | AISC
2020-10-07Inferring the 3D Standing Spine Posture from 2D Radiographs | AISC
2020-10-06Knowledge Extraction from Multimodal & Multilingual sources | AISC
2020-10-01Camera Depth of Field Manipulation for Pre- and Post-Image Capture | AISC
2020-09-30[MOREL] Unsupervised Video Object Segmentation for Deep Reinforcement Learning
2020-09-29Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISC
2020-09-29Overview: Machine Learning for Quantum Matter Research | AISC
2020-09-25Overview of Machine Learning for Knowledge Graphs | AISC