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Title | Measuring |
Description | Search this site Skip to navigation Measuring CLEVRness Measuring CLEVRness Blackbox testing of Visual Reasoning Models Abstract How can we measure the re |
Keywords | N/A |
WebSite | measuringclevrness.com |
Host IP | 216.239.32.21 |
Location | United States |
Site | Rank |
US$868
Last updated: 2023-05-17 11:23:10
measuringclevrness.com has Semrush global rank of 0. measuringclevrness.com has an estimated worth of US$ 868, based on its estimated Ads revenue. measuringclevrness.com receives approximately 100 unique visitors each day. Its web server is located in United States, with IP address 216.239.32.21. According to SiteAdvisor, measuringclevrness.com is safe to visit. |
Purchase/Sale Value | US$868 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$24 |
Yearly Ads Revenue | US$288 |
Daily Unique Visitors | 6 |
Note: All traffic and earnings values are estimates. |
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measuringclevrness.com. | NS | 21600 | NS Record: ns-cloud-b1.googledomains.com. |
Search this site Skip to navigation Measuring CLEVRness Measuring CLEVRness Blackbox testing of Visual Reasoning Models Abstract How can we measure the reasoning capabilities of intelligence systems? Arguably, visual question answering provides a convenient framework. However, despite scores of various visual QA datasets and architectures, which sometimes yield even a super-human performance, the question of whether those architectures can actually reason remains open to debate. To answer this, we extend the visual question answering framework and propose the following behavioral test in the form of a two-player game. We consider black-box neural models, trained on a diagnostic dataset benchmarking reasoning - CLEVR. Next, we train an adversarial player that re-configures the scene to fool the models. We show that otherwise human-level performers can easily be fooled. Our results put in doubt whether data-driven approaches can do reasoning without exploiting the numerous biases that |
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