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.
Computer Vision
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Showing 61-120 of 206 articles
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 of the person's face.
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: Towards Real-Time Object Detection with Region…
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 feature pyramid with strong semantics at every…
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 co-director of the Stanford Institute for Human-Centered…
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 unified
Focal loss
Focal loss is a loss function that reshapes standard cross-entropy loss by adding a (1 - p_t)^gamma modulating factor, which down-weights well-classified (easy) examples so that training concentrates on hard
Fox (benchmark)
Fox is an evaluation suite for fine-grained, multi-page document understanding by large vision-language models.
Frechet Inception Distance
The Frechet Inception Distance (FID) is the standard metric for measuring the quality of images produced by generative models: it computes the Frechet distance between two multivariate Gaussian distributions…
GAIA-2 (Wayve)
GAIA-2 (Generative AI for Autonomy 2) is a controllable, multi-camera generative world model for autonomous driving, announced by the British self-driving company Wayve on 26 March 2025.
GAIA-3 (Wayve)
GAIA-3 is a 15-billion-parameter generative world model for autonomous driving released by Wayve on 2 December 2025, the third generation in the company's GAIA family.
GAIA-4 (Wayve)
GAIA-4 is a multimodal generative world model for closed-loop autonomous driving simulation, announced by the British self-driving company Wayve on 3 August 2026 as the latest generation of its GAIA family.
Gaussian Splatting
Gaussian splatting is a method for real-time radiance field rendering that represents a 3D scene as a collection of millions of anisotropic 3D Gaussian primitives, each defined by a position, covariance…
GenAI-Bench
GenAI-Bench is an AI benchmark for evaluating compositional text-to-image and text-to-video generation, introduced in 2024 by researchers from Carnegie Mellon University and Meta AI .
GenEval
GenEval is an object-focused benchmark for evaluating how well text-to-image models follow the content of a prompt.
GoogLeNet (Inception v1)
GoogLeNet, also known as Inception v1, is a 22-layer deep convolutional neural network introduced by Google researchers in 2014 that won the classification task of the ImageNet Large Scale Visual Recognition…
Grad-CAM
Grad-CAM (Gradient-weighted Class Activation Mapping) is a technique for producing visual explanations from convolutional neural network (CNN) models by using the gradients of a target class flowing into the…
Grok Imagine
Grok Imagine is a generative media product from xAI, the company founded by Elon Musk.
Hanna Hajishirzi
Hanna Hajishirzi, whose scholarly publications generally use the name Hannaneh Hajishirzi, is a computer scientist whose research covers natural language processing, machine learning, generative AI, question…
Hiera
Hiera is a hierarchical vision transformer from Meta AI (FAIR), introduced in the paper "Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles" presented as an oral at the International…
Hikvision
Hangzhou Hikvision Digital Technology Co., Ltd. (Chinese: 杭州海康威视数字技术股份有限公司), commonly known as Hikvision, is a Chinese state-controlled multinational manufacturer of video surveillance equipment and a major…
HunyuanWorld 1.0
HunyuanWorld 1.0 is an open model from Tencent that generates explorable 3D worlds from a text prompt or a single image.
I-JEPA
I-JEPA (Image-based Joint-Embedding Predictive Architecture) is a self-supervised learning method for computer vision developed by Meta AI.
Ideogram 3.0
Ideogram 3.0 is a text-to-image generation model released by Ideogram on March 26, 2025.
Image Classification Models
Image classification models are machine learning systems that assign one or more category labels to a whole input image, the task that drove the modern wave of deep learning in computer vision.
Image Recognition
Image recognition is the field of artificial intelligence and computer vision that enables machines to identify, classify, and interpret the objects, patterns, and features contained in a digital image or…
Image classification
Image classification is the task of assigning a whole image to one category drawn from a fixed set of labels.
Image segmentation
Image segmentation is the computer vision task of partitioning a digital image into multiple regions by assigning every pixel a label, producing a pixel-level map of what each part of the image contains.
Image-to-Image Models
Image-to-image models (often shortened to img2img) are machine learning systems that take an input image and output a transformed version of it.
ImageNet
ImageNet is a large, hierarchically organized image dataset created to support research in computer vision, especially object recognition.
Inception (deep learning)
Inception is a family of convolutional neural network (CNN) architectures developed by researchers at Google, first introduced in 2014.
Index (Figure AI)
Index is a proprietary data-collection program and mobile application operated by Figure AI.
Instance segmentation
Instance segmentation is the computer vision task of detecting every object instance in an image and producing a pixel-precise mask for each one
Intel RealSense D555
The Intel RealSense D555 (also branded simply as RealSense D555 PoE) is a stereoscopic depth camera announced in mid-2025 that is the first product in the RealSense D400 family to integrate Power over Ethernet…
InternVideo
InternVideo is a family of general-purpose video foundation models developed by OpenGVLab at the Shanghai Artificial Intelligence Laboratory in collaboration with Nanjing University and the Shenzhen Institutes…
International Conference on Computer Vision
The International Conference on Computer Vision (ICCV) is one of the three top-tier academic conferences in computer vision, held every two years in odd-numbered years since 1999 and first staged in London in…
Intersection over union (IoU)
Intersection over Union (IoU) is the standard computer vision evaluation metric that measures how well a predicted region overlaps a ground-truth region: it is the area of intersection divided by the area of…
IoU
Intersection over Union (IoU), also known as the Jaccard index or Jaccard similarity coefficient, is the standard overlap metric in object detection and image segmentation: it is the area of overlap between a…
Jian Sun
Jian Sun (1976 to 2022) was a Chinese computer scientist and one of the most influential researchers in modern computer vision.
Joy Buolamwini
Joy Buolamwini is a Canadian-American computer scientist and digital activist known for research exposing racial and gender bias in commercial facial recognition and facial-analysis systems
Justin Johnson
Justin Johnson is an American computer scientist known for his work in computer vision and machine learning, particularly on perceptual losses for real-time neural style transfer, the CLEVR visual-reasoning…
Kaiming He
Kaiming He is a Chinese computer scientist known for foundational work in computer vision and deep learning, and is most closely associated with deep residual networks, or ResNet.
Keypoints
In computer vision, keypoints (also called interest points, feature points, or salient points) are distinctive locations in an image that can be reliably detected and described across changes in viewpoint…
LAION
LAION (Large-scale Artificial Intelligence Open Network) is a German non-profit organization
LVIS (Large Vocabulary Instance Segmentation)
LVIS (Large Vocabulary Instance Segmentation, pronounced "el-vis") is a large-scale instance segmentation benchmark for computer vision that targets the long-tailed regime of object detection.
Landmarks
Landmarks are reference points used as anchors in two largely separate areas of machine learning.
Latent diffusion model
A latent diffusion model (LDM) is a type of diffusion model that runs the denoising diffusion process in a compressed latent space learned by a pretrained autoencoder, rather than directly in pixel space…
LeNet
LeNet is the pioneering family of convolutional neural networks developed by Yann LeCun and collaborators at AT&T Bell Labs between roughly 1988 and 1998 to read handwritten characters
LeVJEPA
LeVJEPA is a self-supervised learning method for training video encoders. It applies the LeJEPA objective to video
Luma Dream Machine
Luma Dream Machine is a generative AI video and image platform from Luma AI (Luma Labs, Inc.), a San Francisco company, that turns text prompts and still images into short, realistic video clips.
Lumera
Lumera, short for Light-aware Unified Engine-native Reconstruction and Assembly, is an experimental computer vision benchmark and reference pipeline for turning one RGB image into an editable 3D scene.
Lyte
Lyte is an American end-to-end integrated perception company for robotics and physical AI, founded in 2021 and headquartered in Mountain View, California.
MM-Vet
MM-Vet is an AI benchmark for evaluating large multimodal models (LMMs, also called multimodal large language models or MLLMs) on tasks that require combining several core vision-language skills at once.
MMMU-Pro
MMMU-Pro is a rigorous benchmark for evaluating multimodal AI systems on college-level, expert questions that genuinely require seeing an image, built as a harder and more robust version of the original MMMU…
MNIST
The Modified National Institute of Standards and Technology (MNIST) database is a collection of 70,000 grayscale images of handwritten digits (0 through 9) that has served as one of the most widely used…
Machine learning terms/Computer Vision
The key machine learning terms for computer vision describe how neural networks turn pixels into predictions: a convolution slides a small learned filter (kernel) across an image to detect patterns, a…
Marble (World Labs)
Marble is a multimodal generative world model developed by World Labs, the spatial intelligence startup co-founded by Stanford computer scientist Fei-Fei Li.
Mask R-CNN
Mask R-CNN is a deep convolutional neural network for instance segmentation, introduced in 2017 by Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick at Facebook AI Research (FAIR).
Masked autoencoder (MAE)
Masked autoencoder (MAE) is a self-supervised learning method for vision transformers that masks roughly 75% of an input image's patches and trains a network to reconstruct the missing pixels from the small…
MediaPipe
MediaPipe is an open-source, cross-platform framework from Google for building on-device machine learning pipelines that process video, audio, and other streaming data in real time.