REMINDER!!!
Deadline for initiating your paper submission on the CMT system is the 19th of July! You can then finalize your submission by the 26th of July. Please note that the initial submission only requires to indicate the task(s) you intend to participate.
Some exciting news!
The top-ranked participating teams in the #FeTSChallenge will receive monetary prizes of total value of $5,000 - sponsored by
@intel@MICCAI_Society
New model zoo in @PyTorch for image segmentation by Pavel Yakubovskiy.
https://t.co/IkkjRJyRIq
[1] UNet, FPN, PSPNet Heads
[2] Pre-trained backbones (30+) vgg, densenet, dpn, resnet, seresne(x)t, senet, inceptionresnetv2, etc
[3] Example on how to train on the CamVid dataset.
Very small & useful lib for those who research NNs in @PyTorch for flops/parameters counting. Kudos to my colleague V. Sovrasov!
https://t.co/x4O2C0KPD0
#PyTorch#DeepLearning#opensource
Do you know what's in common between ITALY, BRAZIL, QUEBEC, CRIMEA, CUBA, IRAN, SYRIA, NORTH KOREA, SUDAN, RUSSIA, UKRAINE, KAZAKHSTAN, and BELARUS? Residents of all these countries are prohibited from participating in #PoweredByTF 2.0 Challenge. But why???
I would like to announce that @albuslaev@creaf@cvtalks@viglovikov are releasing image augmentation library #albumentations v0.2.0.
The new features are key point transformations, multiple targets of the same type and many other improvements.
https://t.co/jng9RljvPd
Let's the open-source continue!🎉
I'm excited to notify you that we have open-sourced our Face Recognition training pipeline in @PyTorch https://t.co/c2zHnihziD
#FaceRecognition#DeepLearning#OpenSource
Let's the open-source begin!🎉
I'm happy to say that our team is starting to open-source our training tools.
The first one is Training Toolbox for Caffe - https://t.co/tpxOC3P5ix which includes training code for action detection & action recognition by Evgeny Izutov.
Enjoy!