Showing 1-60 of 180 articles
AI Image Generation
AI image generation is the use of artificial intelligence systems to create visual content, including photographs, illustrations, paintings, concept art, and...
Artificial IntelligenceGenerative AI
AI Video Generation
AI video generation is the use of artificial intelligence systems, predominantly diffusion transformers, to create video clips from text descriptions, still...
Artificial IntelligenceGenerative AI
AI in agriculture
AI in agriculture refers to the application of artificial intelligence, machine learning, computer vision, and robotics to farming and food production. These...
AI for ScienceArtificial Intelligence
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...
AI Tools & Products
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...
AI Tools & ProductsAutonomous Vehicles
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...
Deep LearningMachine Learning
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...
Autonomous driving
Autonomous driving is the capability of a vehicle to perceive its environment, make decisions, and control its own motion without human input, using a...
Artificial IntelligenceAutonomous Vehicles
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...
AI Tools & ProductsArtificial Intelligence
Average Precision
See also: precision, recall, F1 score, confusion matrix, AUC, precision-recall curve Average precision (AP) is an evaluation metric that summarizes the...
Information RetrievalMachine Learning
BELEBELE
Belebele is a multiple-choice machine reading comprehension (MRC) AI benchmark that is fully parallel across 122 language variants, meaning the same questions,...
AI Benchmarks
BLINK
BLINK is an AI benchmark that evaluates the core visual perception abilities of multimodal large language models (MLLMs). It reformats 14 classic computer...
AI Benchmarks
Ben Mildenhall
Ben Mildenhall is an American computer scientist known for his work in computer graphics and 3D computer vision, and in particular as the first author of the...
People
BigGAN
BigGAN is a class-conditional generative adversarial network that, when introduced by DeepMind researchers Andrew Brock, Jeff Donahue, and Karen Simonyan in...
Generative AIGoogle DeepMind
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...
Machine Learning
CIDEr
CIDEr (Consensus-based Image Description Evaluation) is an automatic evaluation metric for image captioning that scores a machine-generated caption by how...
Machine LearningModel Evaluation
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...
AI BenchmarksData & Datasets
CLIP (Contrastive Language-Image Pre-training)
CLIP (Contrastive Language-Image Pre-training) is a multimodal neural network developed by OpenAI that learns visual concepts from natural language by training...
Deep LearningMachine Learning
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...
AI BenchmarksImage Generation
COCO dataset
COCO (Common Objects in Context) is a large-scale dataset for object detection, image segmentation, keypoint detection, and image captioning. Created by a team...
Data & DatasetsMachine Learning
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...
AI Events
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...
AI CompaniesChinese AI
Computer vision
Computer vision is the field of artificial intelligence that enables computers to extract meaning from digital images, video, and 3D data, performing tasks...
Artificial IntelligenceDeep Learning
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...
AI AgentsArtificial Intelligence
ControlNet
ControlNet is a neural network architecture that adds spatial and structural control to large pretrained text-to-image diffusion models. It was introduced in a...
Deep LearningGenerative AI
ConvNeXt
ConvNeXt is a family of pure convolutional neural network (CNN) models that match or beat Vision Transformers on standard vision benchmarks, reaching 87.8%...
Deep LearningNeural Networks
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...
Deep LearningMachine Learning
Convolutional Layer
See also: Machine learning terms A convolutional layer is the core building block of a convolutional neural network (CNN): it slides a small set of learnable...
Deep LearningMachine Learning
Convolutional Neural Network
A convolutional neural network (CNN or ConvNet) is a type of neural network that processes grid-like data such as images by sliding small learnable filters...
Deep LearningMachine Learning
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...
Machine LearningNeural Networks
CycleGAN
CycleGAN (Cycle-Consistent Generative Adversarial Network) is a deep learning architecture for unpaired image-to-image translation. It learns a mapping G: X to...
Generative AIImage Generation
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...
Deep LearningGenerative AI
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...
Deep LearningTransformer Models
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)...
Deep LearningMachine Learning
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...
AI ModelsMeta AI
DINOv3
DINOv3 is a family of self-supervised computer vision foundation models released by Meta AI in August 2025. It is the third major iteration in the DINO...
AI ModelsMeta AI
DeepLab
DeepLab is a family of deep convolutional neural network architectures for semantic segmentation, developed by Liang-Chieh Chen and collaborators at UCLA and...
Deep LearningGoogle
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...
Chinese AIMultimodal AI
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,...
AI EthicsArtificial Intelligence
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...
Deep LearningTransformer Models
DenseNet
DenseNet (Densely Connected Convolutional Networks) is a convolutional neural network architecture that connects every layer to every other layer in a...
Deep LearningNeural Networks
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...
Deep Learning
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...
Machine LearningModel Architecture
Depthwise separable convolutional neural network (sepCNN)
See also: Machine learning terms A depthwise separable convolutional neural network (often abbreviated sepCNN) is a convolutional neural network that replaces...
Model ArchitectureNeural Networks
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...
Meta AIOpen Source AI
Diffusion model
A diffusion model is a type of generative model that produces data by learning to reverse a gradual noising process: it is trained so that if Gaussian noise is...
Deep LearningGenerative AI
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...
Robotics
Earth Mover's Distance
Earth Mover's Distance (EMD), also known as the Wasserstein-1 distance, Kantorovich-Rubinstein metric, or Mallows's distance, is a measure of dissimilarity...
Machine LearningMathematics
EfficientNet
EfficientNet is a family of convolutional neural network architectures and a model-scaling method that uniformly scales network depth, width, and input...
Deep LearningNeural Networks
Ego-Exo4D
Ego-Exo4D is a large-scale, multimodal, multiview video dataset and benchmark suite for computer vision research on skilled human activity. Its defining...
Data & DatasetsMeta AI
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)...
Data & DatasetsMeta AI
EgoSchema
EgoSchema is a diagnostic benchmark for evaluating very long-form video language understanding, introduced by Karttikeya Mangalam, Raiymbek Akshulakov, and...
AI BenchmarksMultimodal AI
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...
AI Events
Event camera
An event camera (also called a dynamic vision sensor, DVS, or neuromorphic camera) is an image sensor whose pixels work independently and asynchronously....
Robotics
Facial Recognition
Facial recognition is a biometric technology that identifies or verifies the identity of an individual by analyzing patterns in a digital image or video frame...
AI EthicsAI Tools & Products
Faster R-CNN
Faster R-CNN is a two-stage object detection model introduced by Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun in the 2015 NeurIPS paper Faster R-CNN:...
Deep Learning
Feature Pyramid Network (FPN)
A Feature Pyramid Network (FPN) is a generic feature-extraction architecture for object detection and other dense-prediction tasks that builds a multi-scale...
Model Architecture
Fei-Fei Li
Fei-Fei Li (born 1976) is a Chinese-American computer scientist, the inaugural Sequoia Capital Professor of Computer Science at Stanford University, and...
Artificial Intelligence
Florence-2
Florence-2 is a vision foundation model developed by Microsoft Research that handles a wide range of computer vision and vision-language tasks through a single...
AI ModelsMicrosoft
Focal loss
Focal loss is a loss function that reshapes standard cross-entropy loss by adding a (1 - pt)^gamma modulating factor, which down-weights well-classified (easy)...
Deep LearningMachine Learning