AI Image Generation
AI image generation is the use of artificial intelligence systems to create visual content, including photographs, illustrations, paintings, concept art, and graphic designs, from text descriptions, reference…
Computer Vision
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Showing 1-60 of 206 articles
AI Video Generation
AI video generation is the use of artificial intelligence systems, predominantly diffusion transformers, to create video clips from text descriptions, still images, or other video, producing sequences of…
AI in agriculture
AI in agriculture refers to the application of artificial intelligence, machine learning, computer vision, and robotics to farming and food production.
AI in collectibles
Artificial intelligence in collectibles refers to the use of machine learning and computer vision to grade, authenticate, price, and catalog collectible items such as trading cards, coins, sports memorabilia…
Adobe Sensei
Adobe Sensei was the umbrella name that Adobe used for a shared framework, services, and product features based on artificial intelligence and machine learning.
Advanced Driver-Assistance Systems
Advanced Driver-Assistance Systems (ADAS) are electronic technologies that help drivers operate, steer, brake, and park a vehicle by warning of hazards or taking momentary or sustained control of the driving…
Agentic video understanding
Agentic video understanding is an approach to video analysis in which a reasoning model chooses which parts of a video to inspect for a particular question.
AlexNet
AlexNet is a deep learning convolutional neural network, built by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton at the University of Toronto, that won the ImageNet Large Scale Visual Recognition…
Atlas (World Labs)
Atlas is an early-access world model announced by World Labs on September 1, 2026.
Augmented reality
Augmented reality (AR) is a class of display and interaction technologies that overlay computer-generated content onto a user's perception of the physical world, keeping the real world visible while adding…
Autonomous driving
Autonomous driving is the sustained performance by a vehicle system of part or all of the dynamic driving task.
Autonomous vehicle
An autonomous vehicle, also known as a self-driving car, driverless car, or robotic vehicle, is a vehicle that uses artificial intelligence, sensors, and software to navigate and operate without human input.
Average Precision
Average precision (AP) is an evaluation metric that summarizes the precision-recall curve of a ranked list into a single number between 0 and 1, equal to the area under that curve.
BELEBELE
Belebele is a multiple-choice machine reading comprehension (MRC) AI benchmark that is fully parallel across 122 language variants, meaning the same questions, passages, and answer choices are translated into…
BLINK
BLINK is an AI benchmark that evaluates the core visual perception abilities of multimodal large language models (MLLMs).
Ben Mildenhall
Ben Mildenhall is an American computer scientist known for his work in computer graphics and 3D computer vision
BigGAN
BigGAN is a class-conditional generative adversarial network that, when introduced by DeepMind researchers Andrew Brock, Jeff Donahue, and Karen Simonyan in 2018, set a new state of the art for AI image…
Bounding Box
A bounding box is a rectangular region defined by a set of coordinates that encloses an object of interest within an image, video frame, or three-dimensional space.
CIDEr
CIDEr (Consensus-based Image Description Evaluation) is an automatic evaluation metric for image captioning that scores a machine-generated caption by how closely it matches the consensus of several human…
CIFAR-10
CIFAR-10 is a labeled dataset of 60,000 small color images sorted into 10 mutually exclusive object categories, with 6,000 images per class, used as a standard benchmark for image classification.
CLIP (Contrastive Language-Image Pre-training)
CLIP, short for Contrastive Language-Image Pre-training, is a family of neural networks developed by OpenAI researchers to learn a shared representation of images and natural-language descriptions.
CLIP Score
CLIP Score (also written CLIPScore or CLIP-S) is a reference-free automatic evaluation metric that measures how well a text caption matches an image, computed as the rescaled cosine similarity of the image and…
COCO dataset
COCO (Common Objects in Context) is a large-scale dataset for object detection, image segmentation, keypoint detection, and image captioning.
CVPR (Conference on Computer Vision and Pattern Recognition)
CVPR, the IEEE/CVF Conference on Computer Vision and Pattern Recognition, is the leading annual academic conference for computer vision research and, as of 2025, the single highest-ranked publication venue in…
Cartwheel (animation company)
Cartwheel is an American generative AI company that builds 3D character animation tools for games, film and television, advertising, and robotics.
CloudWalk Technology
CloudWalk Technology Co., Ltd. (Chinese: 云从科技, stock code: 688327.SS) is a Chinese artificial intelligence company, founded in April 2015 by Zhou Xi, that builds facial recognition, computer vision, and…
Computer Vision
Computer vision is the study of computational methods that extract, estimate, or generate useful representations from visual measurements.
Computer-use agent
A computer-use agent (CUA) is a category of AI agent in artificial intelligence that performs tasks by directly operating a general-purpose computer's graphical user interface (GUI) the way a human does, by…
ControlNet
ControlNet is a neural network architecture that adds spatial and structural control to large pretrained text-to-image diffusion models.
ConvNeXt
ConvNeXt is a family of pure convolutional neural network (CNN) models that match or beat Vision Transformers on standard vision benchmarks
Convolutional Filter
A convolutional filter (also called a kernel or feature detector) is a small matrix of learnable weights that slides across an input and computes a dot product at each position to produce a feature map.
Convolutional Layer
A convolutional layer is the core building block of a convolutional neural network (CNN): it slides a small set of learnable filters (also called kernels) across the input, computing a convolution (technically…
Convolutional Neural Network
A convolutional neural network (CNN, or ConvNet) is a neural network that uses convolution-like linear operators in at least some layers.
Convolutional Operation
The convolutional operation is a mathematical procedure that combines two functions to produce a third function expressing how the shape of one is modified by the other.
CycleGAN
CycleGAN (Cycle-Consistent Generative Adversarial Network) is a deep learning architecture for unpaired image-to-image translation.
DCGAN (Deep Convolutional GAN)
DCGAN (Deep Convolutional Generative Adversarial Network) is a family of generative adversarial network architectures, introduced in 2015 by Alec Radford, Luke Metz, and Soumith Chintala
DETR
DETR (DEtection TRansformer) is an end-to-end object detection model that reframes detection as a direct set prediction problem solved with a transformer encoder-decoder and bipartite matching, removing the…
DINO (computer vision)
DINO (self-DIstillation with NO labels) is a family of self-supervised learning methods for computer vision from Meta AI that trains Vision Transformers (ViTs) on unlabeled images and produces general-purpose…
DINOv2
DINOv2 is a family of self-supervised Vision Transformer models released by Meta AI Research in April 2023 that produces general-purpose visual features transferring to many downstream tasks without…
DINOv3
DINOv3 is a family of self-supervised computer vision foundation models released by Meta AI in August 2025.
DeepLab
DeepLab is a family of deep convolutional neural network architectures for semantic segmentation, developed by Liang-Chieh Chen and collaborators at UCLA and Google between 2014 and 2018 .
DeepSeek-OCR
DeepSeek-OCR is an open-source optical character recognition (OCR) and document-understanding system released by DeepSeek on 20 October 2025 that pioneers a contexts optical compression paradigm: it encodes…
Deepfake
A deepfake is synthetic media in which a real person's face, voice, or body is digitally replaced, manipulated, or fabricated using artificial intelligence, most often deep learning techniques such as…
DeiT
DeiT (Data-efficient Image Transformers) is a family of vision transformer models that proved Vision Transformers can be trained to state-of-the-art image classification accuracy on ImageNet alone
DenseNet
DenseNet (Densely Connected Convolutional Networks) is a convolutional neural network architecture that connects every layer to every other layer in a feed-forward fashion
Depth estimation
Depth estimation is the computer vision task of predicting how far each surface in a scene is from the camera, producing a dense per-pixel depth map from one or more images.
Depthwise Separable CNN
A depthwise separable convolution is a factorized form of convolution that decomposes a standard convolutional operation into two sequential steps: a depthwise convolution and a pointwise convolution.
Depthwise separable convolutional neural network (sepCNN)
A depthwise separable convolutional neural network (often abbreviated sepCNN) is a convolutional neural network that replaces standard convolution layers with depthwise separable convolutions.
Detectron2
Detectron2 is an open-source software library for object detection and image segmentation, built on PyTorch and developed by Facebook AI Research (FAIR), the research group now part of Meta AI.
Diffusion model
A diffusion model is a generative model that learns to transform samples from a simple reference distribution into samples resembling a data distribution by reversing a gradual corruption process.
Donut (Model)
Donut (Document understanding transformer) is an OCR-free visual document understanding model introduced by researchers at NAVER CLOVA in the paper "OCR-free Document Understanding Transformer," first posted…
Drone
A drone is an aircraft that flies without a human pilot on board, controlled either remotely by an operator or autonomously by onboard computers using artificial intelligence and sensors.
Dyson CameraJet
Dyson CameraJet is a connected electric toothbrush and liquid flosser introduced by Dyson on September 1, 2026.
Earth Mover's Distance
Earth Mover's Distance (EMD), also known as the Wasserstein-1 distance, Kantorovich-Rubinstein metric, or Mallows's distance
EfficientNet
EfficientNet is a family of convolutional neural network architectures and a model-scaling method that uniformly scales network depth, width, and input resolution with a single compound coefficient, developed…
Ego-Exo4D
Ego-Exo4D is a large-scale, multimodal, multiview video dataset and benchmark suite for computer vision research on skilled human activity, a central resource in egocentric vision.
Ego4D
Ego4D is a large-scale egocentric (first-person) video dataset and benchmark suite for computer vision, assembled by Meta AI (then Facebook AI Research) together with a consortium of 13 universities and labs…
EgoSchema
EgoSchema is a diagnostic benchmark for evaluating very long-form video language understanding, introduced by Karttikeya Mangalam, Raiymbek Akshulakov, and Jitendra Malik at UC Berkeley.
Egocentric Vision
Egocentric vision, also called first-person vision, is the branch of computer vision concerned with video and sensor data recorded from a camera worn on the head or body of the person whose activity is being…
European Conference on Computer Vision
The European Conference on Computer Vision (ECCV) is the biennial top-tier academic conference on computer vision, held in even-numbered years at locations across Europe, and is one of the three most…