Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @bittnt
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @bittnt
-
Can all the open source frameworks tensorflow and pytorch stop using deprecationwarning hidden in the code? This practice does not help people to upgrades but force people to spend extra work to remove those warnings. There are must be better way to help users to upgrade.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out the 2nd
#CVPR 2020 workshop & challenge on learning from imperfect data (LID). Winners on weakly semantic segmentation & object detection who also provide opensource inference code & models will receive cash reward thanks to Baidu. https://lidchallenge.github.ioHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Making an Autonomous car drifting is so cool!https://news.stanford.edu/2019/12/20/autonomous-delorean-drives-sideways-move-forward/ …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How come arXiv website is down.... I just realize this is super important
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shuai Kyle Zheng proslijedio/la je Tweet
AAAI'20 (https://aaai.org/Conferences/AAAI-20/ …) is seeking (self-)nominations of qualified individuals to serve as program committee (PC) members. With this call for help, we hope to expand and diversify the PC. See https://tinyurl.com/y32xd8cj for details and https://tinyurl.com/y24wppyx to nominate
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rogerio Feris from IBM and MIT-IBM lab is presenting work on learning more from less at LID challenge
#CVPR2019pic.twitter.com/sZQe6CB1oc
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Yanping Huang from Google Brain presents the work GPipe a flexible library that enables large scale neural networks training. LID Challenge and workshop at
#CVPR2019pic.twitter.com/1gsgVE8vRE
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Professor Bolei Zhou is presenting Objects Disentangled from Classifying and Synthesizing Scenes at LID workshop
#CVPR2019pic.twitter.com/MNz3WrzJjA – mjesto: Hyatt Regency Long Beach
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Hsuan Yang from UC Merced & Google AI research is presenting the work in learning to segment objects in various condition. LID workshop at
#CVPR2019.pic.twitter.com/MnlRlszOxF
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shuai Kyle Zheng proslijedio/la je Tweet
James (
@jdthewlis) is presenting their work on learning object structure with no supervision. Check out his talk at LID challenge#CVPR2019 for also a sneak peek of Slim Densepose which boosts annotations using video. 08:30-09:10, Hyatt Regency BHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shuai Kyle Zheng proslijedio/la je Tweet
Anurag (
@anuragarnab) from@OxfordTVG is presenting joint work on "Learning from Weak Supervision: Panoptic Segmentation and 3D Human Pose Estimation" at LID challenge#CVPR2019 today (11:30-12:00, at Hyatt Regency B).Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We also have 9 awesome accepted papers focusing on weakly supervised learning or related topics. Check out https://lidchallenge.github.io
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rogerio Feris (Learning More from Less: Weak Supervision and Beyond),
@ber24 (Enhancing U-Nets to Segment Ambiguous Images), following with the winners of two tasks: Object semantic segmentation with image-level supervision; Scene parsing with point-level supervision.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Then will have speakers Bolei Zhou (Objects Disentangled from Classifying and Synthesizing Scenes ), Yanping Huang (GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism), Anurag Arnab (Learning from Weak Supervision: Panoptic Segmentation and 3D Human Pose Estimation)
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Join the
#LIDchallenge &#CVPR2019 workshop (https://lidchallenge.github.io ) Sunday (June 16, LA Time) at Hyatt Regency B Long Beach. We will kick off w@jdthewlis learning from motion w/o supervision, Ming-Hsuan: Unseen Object Segmentation in Videos via Transferable Representations.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Finally, The Nvidia Jetson Nano works with Pytorch (1.1.0a0+b457266) in Python 2.7 after it works with Tensorflow 1.13 in Python 3.6.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Learning from imperfect data and annotation
#CVPR2019 workshop will be held at Long Beach this year: https://lidchallenge.github.io welcome to contribute and participate ! We also hope to find out the SOTA weakly supervised methods for semantic segmentation from two challenges.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It is awesome that everyone talks about the support of Tensorflow/pytorch for the
#Nvidia#JetsonNano... well, if you went ahead and found that there is only a working official version of#Tensorflow 1.13 (only for python 3.6). Anyone has good luck in getting pytorch working?https://twitter.com/ylecun/status/1108138781830451203 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Feel awesome, running tensorflow code using Nvidia RTX 2070 in a new tensorbook after just start the Ubuntu. This should be in all laptop in the future.pic.twitter.com/oom9ewTtfs
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.