One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithms...

Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI One-shot learning (computer vision)...

is widely studied in computer vision, natural language processing, and machine perception. The first paper on zero-shot learning in natural language processing...

game One-shot learning in computer vision Monostable or one shot, a type of electronic circuit Programmable interval timer or one-shot timer One Shot (2017)...

Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of...

(October 2019). "Boosting Few-Shot Visual Learning with Self-Supervision". 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. pp. 8058–8067...

detection, facial recognition, and multi-label classification. In computer vision, face images have been used extensively to develop facial recognition...

D? B/A/D/E/C C/E E/D D Output: So we get the result as C, E, D. Few-shot learning A prompt may include a few examples for a model to learn from, such...

demonstrating transfer learning. The LLaVA was a vision-language model composed of a language model (Vicuna-13B) and a vision model (ViT-L/14), connected...

fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation...

natural language processing, computer vision (vision transformers), reinforcement learning, audio, multimodal learning, robotics, and even playing chess...

features learned from image classification can be transferred to other computer vision problems. E.g., for object detection, the learned cells integrated...

"Reproducible Scaling Laws for Contrastive Language-Image Learning". 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2818–2829. arXiv:2212...

replaced with CGI on a shot-by-shot basis; the actor's eyes, nose, and mouth were usually the only elements retained. Vision's skin needed to move to...

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a...

transfer. Datasets include LAION-5B and others (see List of datasets in computer vision and image processing). Generative AI can also be trained extensively...

retains some of the problems with earlier revisions. GPT-4, equipped with vision capabilities (GPT-4V), is capable of taking images as input on ChatGPT....

Generative Adversarial Networks" (PDF). 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 4396–4405. arXiv:1812.04948...

Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles ( ROV, AUV, gliders), the need...

designed and built by Tesla for computer vision video processing and recognition. It is used for training Tesla's machine learning models to improve its Full...

scientific papers on neural networks, machine learning, deep learning, statistics, computer vision and natural language processing. The most cited of these...

an engineer and computer scientist known for his contributions to the fields of computer vision, computational imaging, and computer graphics. He is the...

Watching Movies and Reading Books. IEEE International Conference on Computer Vision (ICCV) 2015. pp. 19–27. arXiv:1506.06724. Archived from the original...

Adversarial Nets". Computer Vision and Pattern Recognition. Ho, Jonathon; Ermon, Stefano (2016). "Generative Adversarial Imitation Learning". Advances in Neural...

advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability...

Hierarchical human activity recognition is a technique within computer vision and machine learning. It aims to identify and comprehend human actions or behaviors...

According to Wired, Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of the "best researchers in the...

Models with Transformers". 2023 IEEE/CVF International Conference on Computer Vision (ICCV). pp. 4172–4182. arXiv:2212.09748. doi:10.1109/ICCV51070.2023...

by Watching Movies and Reading Books". International Conference on Computer Vision 2015: 19–27. arXiv:1506.06724. Archived from the original on 2023-02-05...

along with the annotations, were used for another one-shot learning paper at Caltech. Other Computer Vision papers that report using the Caltech 101 data...