Fei-Fei Li says her immigrant experience helped shape her approach to AI research.

Note: I made changes to be able to generate edge maps for imagenet datasets downloaded with this tool - https://github.com/mf1024/ImageNet-Datasets-Downloader. It ...

ImageNet serves as the primary dataset for evaluating the quality of computer-vision models. The common practice today is training each architecture with a tailor-made scheme, designed and tuned by an ...

Abstract: There has been a notable advancement in the task of object detection over the last few years. However, recent studies reveal that modern object detectors suffer a considerable performance ...

Of all the holy grails in robotics, learning may well be the holiest. In an era when the term “general purpose” is tossed around with great abandon, however, it can be difficult for non-roboticists to ...

In recent years, data compression or distillation approaches have garnered widespread attention. By compressing large-scale datasets into compact, representative subsets, these methods facilitate ...

This summer, Google reverse image searches will be able to tell you when it indexed a picture the first time, and metadata tags can help identify AI-generated pictures. This summer, Google reverse ...

Imagenet is headquartered in Tampa Operates 10 regional offices in the US Has a wholly owned global delivery center in Philippines BV Investment Partners invested in Imagenet, which provides back ...

A new study from Google Research and UC Berkeley adds to longstanding criticism regarding the computer vision (CV) research sector’s reliance on the venerable ImageNet dataset, and its many ...

Launched at CVPR 12 years ago, the ImageNet database now comprises more than 14 million labelled images and has become one of the most influential benchmarks in the field of computer vision. While ...