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Modular Snip Recorder: A Data Collection Tool for Behavior Cloning (1/2)

Modular Snip Recorder: A Data Collection Tool for Behavior Cloning (1/2)

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5 min read
From SageMaker to Static Site: Hosting a Deep Learning Model on the Frontend

From SageMaker to Static Site: Hosting a Deep Learning Model on the Frontend

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4 min read
How I Built an AI-Powered Face Recognition App from Scratch

How I Built an AI-Powered Face Recognition App from Scratch

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1 min read
Building a Diffusion Model from Scratch: CIFAR-10 in 15 Minutes

Building a Diffusion Model from Scratch: CIFAR-10 in 15 Minutes

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5 min read
[memo]SafeVLA: Towards Safety Alignment of VisionLanguage-Action Model via Constrained Learning

[memo]SafeVLA: Towards Safety Alignment of VisionLanguage-Action Model via Constrained Learning

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1 min read
Frontiers in Computer Vision: Foundation Models, Multimodal Learning, Robustness, and Privacy from the July 2025 arXiv H

Frontiers in Computer Vision: Foundation Models, Multimodal Learning, Robustness, and Privacy from the July 2025 arXiv H

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7 min read
Building a Motion Tracking Balloon Burst Game with Python & OpenCV

Building a Motion Tracking Balloon Burst Game with Python & OpenCV

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3 min read
Two Face Recognition Projects Failed. $33K Burned — All Because of Bad Camera Setup

Two Face Recognition Projects Failed. $33K Burned — All Because of Bad Camera Setup

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3 min read
Building a Deep Learning Model to Detect Potato Diseases: My Journey with PlantVillage.

Building a Deep Learning Model to Detect Potato Diseases: My Journey with PlantVillage.

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3 min read
Does DINO loss compare the [CLS] tokens from both teacher and student?

Does DINO loss compare the [CLS] tokens from both teacher and student?

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1 min read
[memo] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

[memo] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

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1 min read
How Do NLP and Computer Vision Work Together in Modern AI Applications?

How Do NLP and Computer Vision Work Together in Modern AI Applications?

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4 min read
Inside the Research: A Detailed Technical Breakdown of SQD in Quantum Chemistry

Inside the Research: A Detailed Technical Breakdown of SQD in Quantum Chemistry

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4 min read
VideoPrism: A Foundational Visual Encoder for Video Understanding

VideoPrism: A Foundational Visual Encoder for Video Understanding

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1 min read
Comparing 3 ways to Train a Face Mask Classifier: Tensorflow, AWS Canvas, and Rekognition

Comparing 3 ways to Train a Face Mask Classifier: Tensorflow, AWS Canvas, and Rekognition

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10 min read
How to Port CV/ML Models to Rockchip NPU for Faster Face Recognition

How to Port CV/ML Models to Rockchip NPU for Faster Face Recognition

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3 min read
Recent Advances in Computer Vision: Generative Models, Multimodal Learning, Scene Understanding, and Robustness – An Aca

Recent Advances in Computer Vision: Generative Models, Multimodal Learning, Scene Understanding, and Robustness – An Aca

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9 min read
Histogram equalization CLAHE algorithm.

Histogram equalization CLAHE algorithm.

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1 min read
Frontiers in Computer Vision: Synthesizing Advances in Multimodal Perception, Representation Learning, and Efficiency fr

Frontiers in Computer Vision: Synthesizing Advances in Multimodal Perception, Representation Learning, and Efficiency fr

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10 min read
🚗👁️ Segmentation d'Images pour le système embarqué d’une voiture autonome

🚗👁️ Segmentation d'Images pour le système embarqué d’une voiture autonome

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21 min read
Seeing the World: A Beginner's Guide to Convolutional Neural Networks (CNNs) with PyTorch

Seeing the World: A Beginner's Guide to Convolutional Neural Networks (CNNs) with PyTorch

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8 min read
Advancements in Computer Vision and Pattern Recognition: A Synthesis of Emerging Themes and Innovations from May 2025 ar

Advancements in Computer Vision and Pattern Recognition: A Synthesis of Emerging Themes and Innovations from May 2025 ar

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7 min read
Advancements in Computer Vision: Innovations and Challenges in Continual Learning, Generative Modeling, and Anomaly Dete

Advancements in Computer Vision: Innovations and Challenges in Continual Learning, Generative Modeling, and Anomaly Dete

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7 min read
Recent Advances in Computer Vision: Efficient Adaptation, 3D Understanding, Robustness, Multi-Modal Fusion, Medical Appl

Recent Advances in Computer Vision: Efficient Adaptation, 3D Understanding, Robustness, Multi-Modal Fusion, Medical Appl

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12 min read
Recent Advances in Computer Vision: Multimodal Integration, Robustness, and Scalable Intelligence Across Domains (AI Fro

Recent Advances in Computer Vision: Multimodal Integration, Robustness, and Scalable Intelligence Across Domains (AI Fro

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10 min read
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