Tag: cv

Driverless cars just got a whole lot harder. This technical paper by @amirrosenfeld raises some profound questions about the robustness of #DeepLearning as a perceptual mechanism. https://t.co/byBdv5Vlra

— Gary Marcus (@GaryMarcus) August 27, 2018

The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking" https://t.co/StFUBCUlYF #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
#pytorch

— PyTorch Best Practices (@PyTorchPractice) August 25, 2018

Try out @NvidiaAI 's Vid2Vid project for photorealistic video-to-video translation, synthesizing label maps to realistic videos, people talking from edge maps, or generating human motions from poses
Now supports the latest PyTorch v0.4.1:https://t.co/vafmr7XQsf pic.twitter.com/XVu0vGQnLr

— PyTorch (@PyTorch) August 23, 2018

Pretty mind-blowing paper, 3D-printed representations of neural networks you can run inference on by shining light through... literal *light speed* inference times.

They only have classification networks so far, but I'd love to see pix2pix or a GAN soon.https://t.co/mTqIzwQTEK pic.twitter.com/bTI0yXvT5F

— Robbie Barrat (@DrBeef_) August 1, 2018

Painting outside the box with deep learning: https://t.co/ugUdwRAeeD pic.twitter.com/LwpxweX1yP

— François Chollet (@fchollet) July 29, 2018

Played around with @dpkingma & @prafdhar interactive 'Glow' reversible generative model and was able to knock a few years off of Solid Snake and dye his hair.
Blog: https://t.co/HjKlZ8okkZ
Code: https://t.co/U80xSUOUrC pic.twitter.com/LxB6l9TSCT

— Jack Clark (@jackclarkSF) July 21, 2018

4th place solution to Google Landmark Recognition Challenge #CVPR2018 https://t.co/rzjBSmaw3k
- multiple deep nets from @fastdotai
- binary classifiers for: is landmark / is from retrieval challenge
- few-shot learning
- kNN with features from local crops
- ensembling heuristics

— Alexandr Kalinin (@alxndrkalinin) May 30, 2018

finally published my post on semantic image segmentation. check it out! 👇 https://t.co/ZOpEjAqvh8

— Jeremy Jordan (@jeremyjordan) May 22, 2018