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Olga Russakovsky
What's the Point: Semantic Segmentation with Point Supervision
Feature Mining: a Novel Training Strategy for Convolutional Neural
Arxiv:2004.07999V4 [Cs.CV] 23 Jul 2021
AI for All by Mr. S. Arjun
Crowdsourcing in Computer Vision
Cornernet-Lite- Efficient Keypoint Based Object Detection
Deep Learning with Spherical Data Min Sun National Tsing Hua University Vision Science Lab Self-Intro
WHEN SMART MACHINES ARE BIASED Olga Russakovsky Is Working to Change That
Masters Thesis: Development of a Deep Learning Model for 3D Human Pose Estimation in Monocular Videos
Computer Vision and Its Implications Based on the Paper Imagenet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky, Ilya Sutskever, Geoffrey E
A Study of Face Obfuscation in Imagenet
On Imagenet Roulette and Machine Vision
Demystifying Artificial Intelligence What Business Leaders Need to Know About Cognitive Technologies
Do Imagenet Classifiers Generalize to Imagenet?
Composability-Centered Convolutional Neural Network Pruning
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Competing in Artificial Intelligence Chips: China's Challenge Amid
2019 Annual Report
Top View
Arxiv:2012.01469V3 [Cs.CV] 2 Apr 2021 Disparate Impact of These Visual Recognition Systems
UCLA Electronic Theses and Dissertations
Fei-Fei, Imagenet: a Large-Scale Hierarchical Image Database
The Computational Limits of Deep Learning
Computer Vision and Deep Neural Networks COS 597E/SOC 555, Princeton University, Fall 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the Imagenet Hierarchy
Imagenet Large Scale Visual Recognition Challenge
Best of Both Worlds: Human-Machine Collaboration for Object Annotation (Preliminary Version)
Few-Shot Learning for Segmentation
Human Uncertainty Makes Classification More Robust
Computational Visual Recognition Alexander C
Do Imagenet Classifiers Generalize to Imagenet?
Scaling Distributed Machine Learning with System and Algorithm Co-Design
EECS-Risingstars2013spreads.Pdf
Crowdsourcing in Computer Vision
Modern Imagenet-Trained Convolutional Neural Networks Learn the Same Thing
Crowdsourcing in Computer Vision
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Better Image Annotation with Sub-Image Decomposition
Fei-Fei Li (Publish As L
Boosted Convolutional Neural Networks 1
An Imagenet Case Study
Arxiv:1908.07086V1 [Cs.CV] 19 Aug 2019 to Generalize to Related Stimuli [39], and Robustness to Ad- Versarial Examples [29]
Curriculum Vitæ—Andrew Y. Ng Research Interests Education
Object Classification and Localization Using Machine Learning Techniques
Olga Russakovsky