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Overview
This proposal outlines the development of a cutting-edge open-source hybrid terrain recognition system that combines image-based terrain classification with sensor data (such as acceleromete…
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# Lecture 1: Introduction to CNN for Visual Recognition - yongchan’s website
What is computer vision?
[https://cyc9805.github.io/computer-vision/python/Lecture1-Introduction-to-CNN-for-Visual-Recogn…
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Hello,
Is there a way to use tiny-cnn for multimodal network? I'm thinking of combining audio and visual for better recognition.
Thanks a lot.
Nhat
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https://www.di.ens.fr/willow/pdfscurrent/oquab14cvpr.pdf
Convolutional neural networks (CNN) have recently shown outstanding image classification performance in the largescale visual recognition ch…
leo-p updated
7 years ago
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Separating text from image :
:red_circle:Aim of the project is to provide users with a code that can help them take out t…
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* face_recognition version:1.2.1
* Python version: 3.8
* Operating System: WIndows 10
1.I need to capture the video frames of incoming or outgoing employees of a company & capture their in time &…
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So if we accept for the sake of argument the idea that fine-grained-visual-categorisation is a different task to generic object recognition and needs different algorithms as in [this Diettrich paper](…
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Very great work! The idea is very interesting and thank you for providing the codes.
After running the script `download_models.sh`, I found out that there are several pretrained models in the folde…
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[Understanding Deep Image Representations by Inverting Them](https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Mahendran_Understanding_Deep_Image_2015_CVPR_paper.html)
Image representat…