How to break the opencv library limits in face detection | #computervision #opencv #argovision
https://www.vision-ary.net/2015/03/largest-boosted-cascades-opencv-lbp-haar-hog/
https://www.vision-ary.net/2015/03/largest-boosted-cascades-opencv-lbp-haar-hog/
Vision-ary
HAAR LBP HOG Cascades for OpenCV – updated 2021 - Vision-ary
Introduction
In the last years, Haar LBP and HOG cascades for OpenCV became popular thanks to the even more satisfying detection capabilities of a wide range of objects. The success is motivated by the efficiency and the capability of this approach to detect…
In the last years, Haar LBP and HOG cascades for OpenCV became popular thanks to the even more satisfying detection capabilities of a wide range of objects. The success is motivated by the efficiency and the capability of this approach to detect…
GANs are broken at both the computational and algorithmic levels | #DeepLearning #computervision #argovision
Paper: https://arxiv.org/abs/1705.10461
Paper: https://arxiv.org/abs/1705.10461
arXiv.org
The Numerics of GANs
In this paper, we analyze the numerics of common algorithms for training Generative Adversarial Networks (GANs). Using the formalism of smooth two-player games we analyze the associated gradient...
Generative 3D Shapes Using Autoencoder Networks | #deeplearning #computervision #NeuralNetworks
https://www.youtube.com/watch?time_continue=2&v=25xQs0Hs1z0
https://www.youtube.com/watch?time_continue=2&v=25xQs0Hs1z0
YouTube
Exploring Generative 3D Shapes Using Autoencoder Networks
We propose a new algorithm for converting unstructured triangle meshes into ones with a consistent topology for machine learning applications. We combine the...
Latent space interpolation on Cifar by #Nvidia research | #deeplearning #argovision #artificialintelligence #NeuralNetworks #computervision
Open Position | full-stack developer for ML,CV, AI | More: https://www.linkedin.com/feed/update/urn:li:activity:6491988838486020096/
#artificialIntelligence #computervision #machinelearning #ai #javascript #java #linux
#artificialIntelligence #computervision #machinelearning #ai #javascript #java #linux
Linkedin
Alessandro Ferrari on LinkedIn: #artificialintelligence #deeplearning #job #java #javascript #linux… | 16 comments
** NUOVA OFFERTA LAVORO ARGO VISION **
Stiamo cercando ancora una risorsa da inserire nel team ARGO Vision. La figura deve avere grande passione per… | 16 comments on LinkedIn
Stiamo cercando ancora una risorsa da inserire nel team ARGO Vision. La figura deve avere grande passione per… | 16 comments on LinkedIn
⚡️ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. ⚡️
💡 Google | Face and Hand tracking in the browser with MediaPipe and TensorFlow: https://lnkd.in/dQRSB7U
💡 Berkeley | Speeding Up Transformer Training and Inference By Increasing Model Size: https://lnkd.in/dV5qZ4S
💡 CVPR-2020 | Zero-shot video classification by end-to-end training of 3D convolutional neural networks: https://lnkd.in/djs98Ew
💡 Google | Connecting Vision and Language with Localized Narratives: https://lnkd.in/dD6hjUq
More: https://www.linkedin.com/feed/update/urn:li:activity:6643790787312140288
💡 Google | Face and Hand tracking in the browser with MediaPipe and TensorFlow: https://lnkd.in/dQRSB7U
💡 Berkeley | Speeding Up Transformer Training and Inference By Increasing Model Size: https://lnkd.in/dV5qZ4S
💡 CVPR-2020 | Zero-shot video classification by end-to-end training of 3D convolutional neural networks: https://lnkd.in/djs98Ew
💡 Google | Connecting Vision and Language with Localized Narratives: https://lnkd.in/dD6hjUq
More: https://www.linkedin.com/feed/update/urn:li:activity:6643790787312140288
blog.tensorflow.org
Face and hand tracking in the browser with MediaPipe and TensorFlow.js
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
⚡️ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. ⚡️
💡 MIT | How to make a pizza - Learning a compositional layer-based GAN model: https://lnkd.in/gFaVgnR
More: https://www.linkedin.com/feed/update/urn:li:activity:6645227487855022080
💡 MIT | How to make a pizza - Learning a compositional layer-based GAN model: https://lnkd.in/gFaVgnR
More: https://www.linkedin.com/feed/update/urn:li:activity:6645227487855022080
😵Insomnia problems? Counting the sheeps with the #neuralnetworks😵
More: https://www.linkedin.com/posts/argo-vision_neuralnetworks-ai-deeplearning-activity-6734090971035828224-8vUY
More: https://www.linkedin.com/posts/argo-vision_neuralnetworks-ai-deeplearning-activity-6734090971035828224-8vUY
Linkedin
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🤯Unsupervised Deep Video Denoising🤯
More: https://www.linkedin.com/posts/argo-vision_ai-deeplearning-computervision-activity-6739543058792140800-GBp-
More: https://www.linkedin.com/posts/argo-vision_ai-deeplearning-computervision-activity-6739543058792140800-GBp-
Linkedin
ARGO Vision on LinkedIn: #ai #deeplearning #computervision #nlp #ai #artificialintelligence…
🤯Unsupervised Deep Video Denoising🤯
✅State-of-the-art results (see the clips below).
✅This work includes the first publicly available benchmark dataset of…
✅State-of-the-art results (see the clips below).
✅This work includes the first publicly available benchmark dataset of…
The Google MediaPipe update for mobile: https://www.linkedin.com/posts/argo-vision_ai-deeplearning-computervision-activity-6749323316043010048-Qady
Linkedin
ARGO Vision on LinkedIn: #ai #deeplearning #computervision #nlp #ai #linkedin…
🤯Holistic tracking is the new feature in Google's MediaPipe🤯
It enables, on mobile devices, the simultaneous detection of:
✅Full/partial body pose
✅Hand…
It enables, on mobile devices, the simultaneous detection of:
✅Full/partial body pose
✅Hand…
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🔥 A Survey on Diffusion Models 🔥
👉A comprehensive review of denoising diffusion models in #computervision 🤯
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Overview on diffusion models
✅Hot trend for the generative AI
✅A multi-perspective categorization
✅Current limitations / new directions
More: https://bit.ly/3RYG5zP
👉A comprehensive review of denoising diffusion models in #computervision 🤯
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Overview on diffusion models
✅Hot trend for the generative AI
✅A multi-perspective categorization
✅Current limitations / new directions
More: https://bit.ly/3RYG5zP
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