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Title | Taskonomy |
Description | Taskonomy: Disentangling Task Transfer Learning, CVPR 2018 (Best Paper). Stanford, UC Berkeley. We propose a fully computational approach for modeling the structure in the space of visual |
Keywords | taskonomy, meta-learning, metalearning, transfer learning, computer vision, vision, stanford, CVPR, tasks |
WebSite | taskonomy.vision |
Host IP | 104.21.68.127 |
Location | United States |
Site | Rank |
US$1,194
Last updated: 2023-05-16 11:48:13
taskonomy.vision has Semrush global rank of 0. taskonomy.vision has an estimated worth of US$ 1,194, based on its estimated Ads revenue. taskonomy.vision receives approximately 137 unique visitors each day. Its web server is located in United States, with IP address 104.21.68.127. According to SiteAdvisor, taskonomy.vision is safe to visit. |
Purchase/Sale Value | US$1,194 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$33 |
Yearly Ads Revenue | US$396 |
Daily Unique Visitors | 9 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
taskonomy.vision. | A | 300 | IP: 104.21.68.127 |
taskonomy.vision. | A | 300 | IP: 172.67.195.137 |
taskonomy.vision. | AAAA | 300 | IPV6: 2606:4700:3030::6815:447f |
taskonomy.vision. | AAAA | 300 | IPV6: 2606:4700:3035::ac43:c389 |
taskonomy.vision. | NS | 21600 | NS Record: lara.ns.cloudflare.com. |
taskonomy.vision. | NS | 21600 | NS Record: pablo.ns.cloudflare.com. |
TASKONOMY --> Home API Live Demo Pretrained Task Bank Paper Dataset Team Blog --> --> blog post --> --> --> Contact --> Taskonomy Disentangling Task Transfer Learning CVPR18 [Best Paper] Amir R. Zamir , Alexander Sax* , William B. Shen* Leonidas Guibas , Jitendra Malik , Silvio Savarese Learn more --> Transfer Learning API Visit the live API to find a supervision-efficient transfer strategy for your specified arguments. API Page Live Demo of 20 Tasks Upload an image and see live results for 20 distinct vision tasks in the Task Bank, all output from our networks. Live Demo Paper The paper and supplementary material describing the methodology and evaluation. PDF Transfer Visualization Examine any combination of source to target transfers via sample videos. Transfer Visualization Page Models Download pretrained models of the method. Pretrained Models Data Download the data. Almost 4M multiple-annotated images of indoor spaces. Dataset Abstract Do visual tasks have |
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