Computer v.s. Human visual system | AISC

Published on ● Video Link: https://www.youtube.com/watch?v=VsubkoPC9z4



Duration: 58:54
166 views
2


For slides and more information on the paper, visit https://ai.science/e/computer-v-s-human-visual-system--UDIE2Xj56vxVAi0PwpHw

Speaker: Akram Bayat; Discussion Facilitator: Alireza Darbehani

Motivation:
Have you ever wondered how deep computer vision is functioning compared to human vision?
This talk will focus on the development of deep learning solutions for three visual scene perception and object recognition problems. We first show to which extent computer vision-based systems resemble human mechanisms for scene perception and object recognition and, second, how we can enhance their performance.




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


2020-08-19Product Ideation - Art of Finding the Right Problem to Work on! | AISC
2020-08-19Pink Diamond - Data Driven Prediction of Venture Success | Workshop Capstone
2020-08-19Review Nuggets - Mining Insight from Consumer Product Reviews | Workshop Capstone
2020-08-19Fast Film - Emotionally Aware Movie Recommender | Workshop Capstone
2020-08-19Acetock - Stock Prediction Tool for Amateur Investors | Workshop Capstone
2020-08-19Saramsh - Patent Document Summarization using BART | Workshop Capstone
2020-08-19MindfulZen - Data Driven Stress Buster | Workshop Capstone
2020-08-14Machine Learning and the Earth: Applying AI to address some of the world’s greatest challenges
2020-08-13Xun Wang (GEICO): 7 Job Profiles to Demystify the Data Science Career Landscape
2020-08-12Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning | AISC
2020-08-12Computer v.s. Human visual system | AISC
2020-08-12AI Fariness and Adversarial Debiasing
2020-08-11Joint Policy-Value Learning for Recommendation | AISC
2020-08-11Operationalizing the AI Canvas for AI Product Success (and profit) | AISC
2020-08-07Overview of Bias and Fairness in AI
2020-08-06Subexponential-Time Algorithms for Sparse PCA | AISC
2020-08-05Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC
2020-08-04ChemOS: An orchestration software to democratize autonomous discovery | AISC
2020-07-30Recurrent Neural Network for Quantum Wave Function | AISC
2020-07-30Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits | AISC
2020-07-30Information Retrieval for Price Consistency Monitoring - Liu Yang (Amazon)