#computer-vision
#computer-vision

New AI Can Talk About Your Artwork Like a Professional Critic | HackerNoon

GLaMM innovates AI image description by providing intrinsically grounded language responses to visual inputs.

fromSimplilearn.com

4 years ago

Graphic design

What is Image Processing? Everything you need to Know!

Deep learning has significantly impacted technology, especially in computer vision and image processing.

3 weeks ago

Node JS

Why TM-CNN Is a Material Scientist's New Best Friend | HackerNoon

Junctions and terminals detection is crucial across various fields including landscape, biology, and handwriting.

OMG science

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Related Works | HackerNoon

The importance of junctions and terminals detection in multiple scientific contexts highlights its application in computer vision and shape recognition.

New AI Can Talk About Your Artwork Like a Professional Critic | HackerNoon

GLaMM innovates AI image description by providing intrinsically grounded language responses to visual inputs.

fromSimplilearn.com

4 years ago

Graphic design

What is Image Processing? Everything you need to Know!

Deep learning has significantly impacted technology, especially in computer vision and image processing.

3 weeks ago

Node JS

Why TM-CNN Is a Material Scientist's New Best Friend | HackerNoon

Junctions and terminals detection is crucial across various fields including landscape, biology, and handwriting.

OMG science

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Related Works | HackerNoon

The importance of junctions and terminals detection in multiple scientific contexts highlights its application in computer vision and shape recognition.

more#image-processing

Advancements in Adaptive and 3D Object Detection for Edge AI | HackerNoon

Panopticus introduces a novel approach to omnidirectional 3D object detection by adapting processing based on spatial distribution dynamics.

Current adaptive methods lack effectiveness in handling omnidirectional 3D detection.

1 month ago

Digital life

This AI Model Gives Edge Devices Eyes on the Back of Their Heads | HackerNoon

Panopticus is an innovative system for 3D object detection on edge devices, enhancing accuracy while managing latency effectively.

Digital life

1 month ago

Advancements in Adaptive and 3D Object Detection for Edge AI | HackerNoon

Panopticus introduces a novel approach to omnidirectional 3D object detection by adapting processing based on spatial distribution dynamics.

Current adaptive methods lack effectiveness in handling omnidirectional 3D detection.

Digital life

1 month ago

This AI Model Gives Edge Devices Eyes on the Back of Their Heads | HackerNoon

Panopticus is an innovative system for 3D object detection on edge devices, enhancing accuracy while managing latency effectively.

more#3d-object-detection

#deep-learning

fromtowardsdatascience.com

Artificial intelligence

What is the Best Way to Train AI Models? | HackerNoon

Fine-tuning models enhances understanding of visual scene structures compared to full-training.

Visual hierarchy decoding in CNNs provides insights into feature representation.

Artificial intelligence

Vision Transformers (ViT) Explained: Are They Better Than CNNs?

Transformers are revolutionizing NLP with self-attention for efficiency, scalability, and fine-tuning.

Miscellaneous

Text-to-Image Diffusion Models and Personalized Animation Techniques | HackerNoon

Text-to-image diffusion models enhance image generation by utilizing innovative techniques and architectures.

The inclusion of language models leads to higher quality and better alignment of generated images.

fromMedium

8 months ago

Data science

Introduction to CNN

CNNs employ convolution instead of matrix multiplication to effectively process image data for classification.

What is the Best Way to Train AI Models? | HackerNoon

Fine-tuning models enhances understanding of visual scene structures compared to full-training.

Visual hierarchy decoding in CNNs provides insights into feature representation.

fromtowardsdatascience.com

Vision Transformers (ViT) Explained: Are They Better Than CNNs?

Transformers are revolutionizing NLP with self-attention for efficiency, scalability, and fine-tuning.

Miscellaneous

Text-to-Image Diffusion Models and Personalized Animation Techniques | HackerNoon

Text-to-image diffusion models enhance image generation by utilizing innovative techniques and architectures.

The inclusion of language models leads to higher quality and better alignment of generated images.

fromMedium

8 months ago

Data science

Introduction to CNN

CNNs employ convolution instead of matrix multiplication to effectively process image data for classification.

more#deep-learning

#machine-learning

2 years ago

Graph Neural Networks for Image Similarity: An Alternative to Hashing? | HackerNoon

Graph Neural Networks provide a more effective solution for image similarity detection than traditional hashing techniques.

Data science

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

Data science

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Data science

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

Data science

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions | HackerNoon

GNNs' topology awareness is crucial for their generalization performance, particularly in semi-supervised tasks.

Data science

ZeroShape: Data Curation Details - Synthetic Training Dataset Generation and More | HackerNoon

The proposed methodology effectively utilizes a Blender-based pipeline to enhance 3D object rendering, focusing on realistic image generation and data curation.

2 years ago

Graph Neural Networks for Image Similarity: An Alternative to Hashing? | HackerNoon

Graph Neural Networks provide a more effective solution for image similarity detection than traditional hashing techniques.

Data science

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

Data science

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Data science

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

Data science

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions | HackerNoon

GNNs' topology awareness is crucial for their generalization performance, particularly in semi-supervised tasks.

Data science

ZeroShape: Data Curation Details - Synthetic Training Dataset Generation and More | HackerNoon

The proposed methodology effectively utilizes a Blender-based pipeline to enhance 3D object rendering, focusing on realistic image generation and data curation.

more#machine-learning

fromMonst3r-project

UX design

MonST3R: A Simple Approach for Estimating Geometry in the Presense of Motion

MonST3R introduces a novel geometry-first approach to 4D reconstruction, streamlining dynamic scene analysis.

#diffusion-models

Miscellaneous

Coin3D Advances 3D Generation with Precise Control and Interactivity | HackerNoon

The article introduces a novel method for 3D object generation using proxy-guided diffusion and interactive workflows, advancing the capabilities in computer vision.

Miscellaneous

Wonder3D: Textured Mesh Extraction Explained | HackerNoon

The article discusses a novel method for extracting 3D geometries from 2D images using a geometric-aware optimization scheme to handle inaccuracies in generated data.

Miscellaneous

Wonder3D: What Is Cross-Domain Diffusion? | HackerNoon

The model integrates a domain switcher to enhance pre-trained 2D diffusion models for effective operation across multiple domains.

Miscellaneous

Coin3D Advances 3D Generation with Precise Control and Interactivity | HackerNoon

The article introduces a novel method for 3D object generation using proxy-guided diffusion and interactive workflows, advancing the capabilities in computer vision.

Miscellaneous

Wonder3D: Textured Mesh Extraction Explained | HackerNoon

The article discusses a novel method for extracting 3D geometries from 2D images using a geometric-aware optimization scheme to handle inaccuracies in generated data.

Miscellaneous

Wonder3D: What Is Cross-Domain Diffusion? | HackerNoon

The model integrates a domain switcher to enhance pre-trained 2D diffusion models for effective operation across multiple domains.

more#diffusion-models

#startups

Startup companies

UVeye racks up another $191 million for its vision-based 'MRI for cars' | TechCrunch

UVeye is leveraging AI for vehicle inspection and is rapidly scaling its operations with a significant funding boost of $191 million.

6 months ago

European startups

After selling his last AI startup to Meta, Beyond Presence's founder nabs $3.1M to build realistic avatars | TechCrunch

Beyond Presence aims to develop hyper-realistic avatars for AI-driven interactions, focusing on sectors like customer service and recruitment.

Startup companies

UVeye racks up another $191 million for its vision-based 'MRI for cars' | TechCrunch

UVeye is leveraging AI for vehicle inspection and is rapidly scaling its operations with a significant funding boost of $191 million.

6 months ago

European startups

After selling his last AI startup to Meta, Beyond Presence's founder nabs $3.1M to build realistic avatars | TechCrunch

Beyond Presence aims to develop hyper-realistic avatars for AI-driven interactions, focusing on sectors like customer service and recruitment.

JavaScript

Using AWS Rekognition to Power Object Detection for Recommendations and Content Moderation | HackerNoon

Content analysis is vital for enhancing user experience and ensuring app store compliance.

Automated tools are essential for effective moderation of user-generated content as app usage scales.

Personalized content recommendations improve engagement based on user interaction with media.

1 year ago

JavaScript

Working With Vision AI to Test Cloud Applications | HackerNoon

Tricentis Tosca's Vision AI tools streamline UI testing by focusing on visual cues instead of technical implementation details.

7 months ago

JavaScript

Using AWS Rekognition to Power Object Detection for Recommendations and Content Moderation | HackerNoon

Content analysis is vital for enhancing user experience and ensuring app store compliance.

Automated tools are essential for effective moderation of user-generated content as app usage scales.

Personalized content recommendations improve engagement based on user interaction with media.

1 year ago

JavaScript

Working With Vision AI to Test Cloud Applications | HackerNoon

Tricentis Tosca's Vision AI tools streamline UI testing by focusing on visual cues instead of technical implementation details.

ZeroShape: The Training Dataset That We Used | HackerNoon

The article describes evaluation methodologies using real-world datasets for testing zero-shot generalization in AI models.

#digital-imaging

Artificial intelligence

Beeble Researchers Develop AI That Can Make Any Photo Look Perfectly Lit-Even in the Darkest Room | HackerNoon

The study introduces a novel method to enhance light and shadow application in digital human portraits through advanced loss techniques.

Artificial intelligence

Researchers Build Massive AI Training Dataset to Perfect Lighting on Faces | HackerNoon

The article discusses an innovative lighting and shadow application method for human portraits using extensive data collection.

Artificial intelligence

Beeble Researchers Develop AI That Can Make Any Photo Look Perfectly Lit-Even in the Darkest Room | HackerNoon

The study introduces a novel method to enhance light and shadow application in digital human portraits through advanced loss techniques.

Artificial intelligence

Researchers Build Massive AI Training Dataset to Perfect Lighting on Faces | HackerNoon

The article discusses an innovative lighting and shadow application method for human portraits using extensive data collection.

more#digital-imaging

#open-vocabulary-segmentation

8 months ago

Miscellaneous

How Pose, Depth, and Surface-Normal Impact HyperHuman's Image Quality | HackerNoon

The article presents a novel approach using a Latent Structural Diffusion Model to enhance image generation through structural guidance and refinement.

Miscellaneous

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision | HackerNoon

Uni-OVSeg offers a new method for open-vocabulary segmentation using independent data, improving scalability and performance.

Miscellaneous

The Future of Segmentation: Low-Cost Annotation Meets High Performance | HackerNoon

The paper presents a framework for advanced open-vocabulary segmentation in computer vision.

Miscellaneous

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision | HackerNoon

Uni-OVSeg offers a new method for open-vocabulary segmentation using independent data, improving scalability and performance.

more#open-vocabulary-segmentation

Miscellaneous

The Future of Segmentation: Low-Cost Annotation Meets High Performance | HackerNoon

The paper presents a framework for advanced open-vocabulary segmentation in computer vision.

Data science

Datasets and Evaluation Methods for Open-Vocabulary Segmentation Tasks | HackerNoon

The Uni-OVSeg framework significantly enhances open-vocabulary segmentation through innovative techniques and extensive datasets.

6 months ago

Data science

Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Evaluation and Methodology | HackerNoon

Apparate improves latency in NLP and CV workloads while maintaining accuracy, offering advantages over traditional early-exit models.

7 months ago

Artificial intelligence

Shopsense AI lets music fans buy dupes inspired by red-carpet looks at the VMAs | TechCrunch

Shopsense AI at the VMAs innovatively linked fashion with viewer engagement, enabling instant shopping of outfits seen on screen.

fromTheregister

7 months ago

Tech industry

Mobileye cuts LiDAR division, 100 jobs

Mobileye is discontinuing its LiDAR research, shifting focus to computer vision and imaging radar development, reflecting evolving priorities in autonomous vehicle technology.

Medicine

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoon

Data augmentation can improve model performance but may cause bias, leading to varied class accuracy.

fromInverse

Artificial intelligence

Someone Made a DIY Version of Google's Most Exciting AI - and You Can Use It Right Now

Google's Gemini generative AI was used to create DIY-Astra, a chatbot with vision capabilities providing a sneak peek into the potential of improved AI chatbots.

fromTheregister