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What is Semantic Segmentation
Last Updated: 22 August 2025
Semantic segmentation is a process in computer vision that focuses on assigning a class label to every pixel in an image. This process transforms simple images into meanin...
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Computer Vision
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Video Vision Transformer (ViViT)
Last Updated: 01 August 2025
TheVideo Vision Transformer (ViViT)is a milestone architecture that extends the success of the Vision Transformer (ViT) from image understanding to video understanding tas...
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MMDetection in Computer Vision
Last Updated: 29 July 2025
MMDetection is an open source Object Detection toolbox based on PyTorch that helps you build and use models to find and recognize objects in images and videos. It’s built ...
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Computer Vision
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Convolutional Vision Transformer
Last Updated: 23 July 2025
TheConvolutional Vision Transformer (CvT)is a state of the art deep learning architecture that combines the strengths of convolutional neural networks (CNNs) and vision tr...
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Feature Pyramid Network (FPN)
Last Updated: 23 July 2025
AFeature Pyramid Network (FPN)is a neural network architecture designed to enhance computer vision tasks like object detection and segmentation, especially in scenarios wi...
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Timm library
Last Updated: 18 July 2025
Timm is a Python library that provides many pre trained image models you can use with PyTorch. It makes it simple to try out modern computer vision models like ResNet, Eff...
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Mobile Former
Last Updated: 18 July 2025
Mobile Former is a cutting-edge neural network architecture that bridges the efficiency of MobileNet style convolutions with the global context modeling power of Transform...
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Computer Vision
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Local Feature Matching with Transformers (LoFTR)
Last Updated: 14 July 2025
Local Feature Matching with Transformers (LoFTR)is a cutting-edge approach in computer vision for establishing correspondences between images a foundational operation for ...
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ConvNeXt
Last Updated: 15 July 2025
ConvNeXtis a modern convolutional neural network (CNN) architecture that reimagines classic CNNs by integrating successful design elements from Vision Transformers (ViTs)....
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Structure from Motion
Last Updated: 12 July 2025
Structure from Motion (SfM)is a computer vision technique that reconstructs the three dimensional (3D) structure of a scene from a set of two-dimensional (2D) images taken...
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Using Keras to Build Custom Object Detection Models
Last Updated: 05 July 2025
Building custom object detection models using Keras (specifically with KerasCV, an extension for Computer Vision tasks) is a powerful way to detect and localize objects in...
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Computer Vision
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Xception
Last Updated: 11 July 2025
Xception is a short form for Extreme Inception which is a deep convolutional neural network(CNN) architecture designed to improve upon the original Inception model. It rep...
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Computer Vision
Stereo Vision and Depth Estimation
Last Updated: 30 July 2025
Stereovision (or stereo vision) is a technique in computer vision that uses two or more cameras placed at different viewpoints to simulate human binocular vision. It allow...
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Computer Vision
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Histogram of Oriented Gradients
Last Updated: 23 July 2025
HOGis a feature descriptor used in computer vision and image processing for object detection. It captures the structure or the shape of an object by analyzing the distribu...
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OpenCV
Computer Vision
Computer Vision
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Image Classification using ResNet
Last Updated: 23 July 2025
This article will walk you through the steps to implement it for image classification using Python and TensorFlow/Keras. Image classification classifies an image into one ...
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Tensorflow
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