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#Semantic Segmentation

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Image Processing With Python

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The videos are created for students and researchers and people interested in image processing using python but with a basic python developer, user in mind.
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86 Lesons
1 day 8 hours
On-Demand
Free-Video
Santa Fe Institute

When Computers Look at Art

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Explore how AI and computer vision revolutionize art analysis, offering new insights into paintings' style, meaning, and historical context while addressing challenges in image understanding.
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19 Lesons
1 hour 9 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Computer Vision - Lecture 1

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Introduction to computer vision concepts, applications, and recent advancements. Explores visual perception, image types, object recognition, facial analysis, action detection, and video processing techniques.
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45 Lesons
49 minutes
On-Demand
Free-Video
University of Central Florida

Trust Region Based Adversarial Attack on Neural Networks

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Explore trust region optimization for adversarial attacks on neural networks, covering various attack methods and their applications in computer vision and object detection.
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28 Lesons
32 minutes
On-Demand
Free-Video
University of Central Florida

Region Mutual Information Loss for Semantic Segmentation

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Explore advanced techniques in semantic segmentation, including region mutual information loss, à trous convolutions, and multi-scale features for improved image analysis and understanding.
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19 Lesons
21 minutes
On-Demand
Free-Video
University of Central Florida

Describing Images Using Semantic Modeling with Attributes and Tags

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Explore semantic modeling for image description using attributes and tags, covering frameworks, methodologies, and experiments in visual content analysis and popularity prediction.
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31 Lesons
1 hour
On-Demand
Free-Video
University of Central Florida

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

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Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.
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23 Lesons
54 minutes
On-Demand
Free-Video
University of Central Florida

Instance Segmentation - Lecture 17

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Explore instance segmentation techniques, including semantic segmentation, ROI pooling, and mask structures, for advanced computer vision applications.
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14 Lesons
43 minutes
On-Demand
Free-Video
University of Central Florida

CAP5415 - Semantic Segmentation Part 1 - Lecture 17

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Explore semantic segmentation techniques, including pretrained layers, skip connections, and upsampling methods for advanced image analysis and understanding.
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12 Lesons
48 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Computer Vision - Part II - Lecture 2

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Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.
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35 Lesons
58 minutes
On-Demand
Free-Video
Eran Feit

Remove Objects from Images Like Magic - Step-by-Step Guide

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Learn to remove objects from images using Inpainter, combining semantic segmentation and EdgeConnect. Master installation, single and multiple object removal for photo editing and data augmentation.
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1 Lesons
14 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

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Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.
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30 Lesons
41 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

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Explore deep learning for computer vision, covering CNNs, object detection, and image segmentation. Learn about architectures, applications, and impacts in various fields.
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35 Lesons
35 minutes
On-Demand
Free-Video
DigitalSreeni

Labeling Images for Semantic Segmentation Using Label Studio

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Learn to label images for semantic segmentation using Label Studio, covering installation, project setup, annotation, and exporting in this practical tutorial.
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7 Lesons
27 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Detection of Objects in Cryo-Electron Micrographs Using Geometric Deep Learning

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Explore geometric deep learning techniques for object detection and segmentation in cryo-electron micrographs, focusing on unsupervised methods and graph-based transformers for complex structures.
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14 Lesons
43 minutes
On-Demand
Free-Video
Discover AI

Code Panoptic Image Segmentation with Vision Transformer and Mask2Former - A PyTorch Tutorial

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Dive into advanced image segmentation using Mask2Former architecture, exploring masked attention and universal segmentation techniques for enhanced computer vision applications.
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1 Lesons
16 minutes
On-Demand
Free-Video
Discover AI

Panoptic Image Segmentation - Understanding Mask2Former

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Dive into Mask2Former's universal approach to image segmentation, covering instance, semantic, and panoptic segmentation techniques with practical examples and implementations.
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4 Lesons
12 minutes
On-Demand
Free-Video
Aladdin Persson

PyTorch Image Segmentation Tutorial with U-NET - Everything From Scratch

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Learn to implement U-NET for image segmentation from scratch, covering model architecture, dataset preparation, training process, and evaluation techniques in PyTorch.
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6 Lesons
52 minutes
On-Demand
Free-Video
Bolei Zhou

Interpretable Representation Learning for Visual Intelligence

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Explore interpretable representation learning in deep neural networks for visual intelligence, covering object classification, scene recognition, and network visualization techniques.
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18 Lesons
41 minutes
On-Demand
Free-Video
MITCBMM

Towards Machines that Perceive and Communicate

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Explore cutting-edge research in visual scene understanding and grounded language processing, covering semantic segmentation, object detection, and image captioning advancements.
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16 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Alfredo Canziani

ConvNets in Practice

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Explore practical applications of ConvNets in object detection, face recognition, and semantic segmentation. Learn about network architectures, performance comparisons, and real-world implementations in robotics and image processing.
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17 Lesons
52 minutes
On-Demand
Free-Video
Alfredo Canziani

CNN Applications, RNN, and Attention

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Explore CNN applications in digit recognition, object detection, and semantic segmentation. Dive into RNNs, addressing their challenges with attention mechanisms, GRUs, LSTMs, and Seq2Seq models.
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7 Lesons
1 hour 29 minutes
On-Demand
Free-Video
tinyML

Enabling On-Device Learning at Scale

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Explore on-device learning techniques for AI personalization, including few-shot learning, continuous learning, and federated learning, addressing privacy and efficiency challenges in edge computing.
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24 Lesons
37 minutes
On-Demand
Free-Video
Andreas Geiger

Segmenting and Tracking Every Pixel

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Explore video panoptic segmentation with STEP datasets, focusing on real-world challenges in pixel-precise segmentation and tracking. Learn about new evaluation metrics and baseline methods.
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23 Lesons
34 minutes
On-Demand
Free-Video
Andreas Geiger

Implicit Neural Scene Representations

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Explore implicit neural representations for complex signals, enabling 3D reconstruction from single images and fast inference through gradient-based meta-learning, with applications in scene understanding and semantic segmentation.
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24 Lesons
57 minutes
On-Demand
Free-Video
Andreas Geiger

Attacking Optical Flow

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Explores adversarial patch attacks on optical flow networks, revealing vulnerabilities in deep learning-based motion estimation crucial for autonomous driving safety.
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22 Lesons
30 minutes
On-Demand
Free-Video
Andreas Geiger

Making Our Models Robust to Changing Visual Environments

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Explore techniques for making machine learning models robust to changing visual environments, covering domain adaptation, adversarial optimization, and continuous learning strategies.
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26 Lesons
46 minutes
On-Demand
Free-Video
tinyML

The Model Efficiency Pipeline: Enabling Deep Learning Inference at the Edge

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Explore optimizing deep learning for edge devices through model efficiency techniques, including neural architecture search, pruning, quantization, and conditional processing.
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42 Lesons
50 minutes
On-Demand
Free-Video
media.ccc.de

Easterhegg 2019 - Generative Adversarial Networks für Anfänger

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Einführung in Generative Adversarial Networks: Überblick, Geschichte und praktische Anwendungen für Entwickler. Erklärt Konzepte, Techniken und Herausforderungen anhand von Beispielen wie Pokémon-Generator und Gesichtsalterung.
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13 Lesons
42 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Exemplar Based Experience Transfer

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Automatic approach to transfer user content into example banners, using semantic segmentation and energy-based optimization for optimal layout design.
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9 Lesons
22 minutes
On-Demand
Free-Video
Unity

Overview of Unity Simulation

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Accelerate autonomous system training with cloud-based Unity Simulation. Learn to set up and run multiple instances on Google GCP for rapid development and testing of new features.
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14 Lesons
27 minutes
On-Demand
Free-Video
DigitalSreeni

Semantic Segmentation Made Easy - Using Segmentation Models Library

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Learn to implement semantic segmentation using the Segmentation Models library, covering model types, backbones, data augmentation, preprocessing, and training on electron microscopy datasets.
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11 Lesons
24 minutes
On-Demand
Free-Video
DigitalSreeni

Pretrained CNN Features for Semantic Segmentation Using Random Forest

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Explore semantic segmentation using VGG16 features and Random Forest, offering improved results for limited training data compared to U-net.
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9 Lesons
22 minutes
On-Demand
Free-Video
Sam Witteveen

Unveiling Meta's Impressive CV Model - SAM 2: Segment Anything in Images and Videos

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Explore Meta's advanced CV model SAM 2, featuring unified architecture for image and video segmentation. Learn its capabilities through demos and code samples for enhanced visual understanding.
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8 Lesons
12 minutes
On-Demand
Free-Video
DigitalSreeni

Semantic Segmentation of Aerial Imagery Using U-Net

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Learn to preprocess aerial imagery, train U-net for semantic segmentation, and make predictions using Python, focusing on data preparation and model implementation for satellite image analysis.
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9 Lesons
42 minutes
On-Demand
Free-Video
DigitalSreeni

Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

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Enhance U-Net performance for semantic segmentation using ensemble methods with ResNet34, Inception V3, and VGG16 networks. Includes code, dataset, and practical implementation tips.
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18 Lesons
30 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Hyperparameter Tuning with a Focus on Weights and Biases Sweeps

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Explore hyperparameter tuning strategies and visualizations for deep learning models, focusing on Weights & Biases Sweeps. Accelerate progress in semantic segmentation and language understanding projects.
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1 Lesons
47 minutes
On-Demand
Free-Video
VinAI

Domain Adaptation on Wheels: Closing the Gap to the Open-world

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Explore domain adaptation techniques for autonomous driving, from standard unsupervised setups to practical approaches addressing open-world challenges in semantic segmentation and scene understanding.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
VinAI

3D Scenes - Understanding and Rendering

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Explore 3D scene understanding and rendering techniques, from data acquisition to neural networks for point cloud classification and semantic segmentation, with insights on future research directions.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video