ImageNet Large Scale Visual Recognition Challenge

doi:doi:10.57702/l581z07g

ImageNet Large Scale Visual Recognition Challenge

A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a subsequent low-shot learning phase.

BibTex:

@dataset{Olga_Russakovsky_and_Jia_Deng_and_Hao_Su_and_Jonathan_Krause_and_Sanjeev_Satheesh_and_Sean_Ma_and_Zhiheng_Huang_and_Andrej_Karpathy_and_Aditya_Khosla_and_Michael_Bernstein_2024,
    abstract = {A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a subsequent low-shot learning phase.},
    author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein},
    doi = {10.57702/l581z07g},
    institution = {No Organization},
    keyword = {'Computer Vision', 'Convolutional Neural Networks', 'Image Classification', 'Image Recognition', 'Image classification', 'Image recognition', 'ImageNet', 'Imagenet', 'Large Scale', 'Large Scale Visual Recognition', 'Large scale visual recognition', 'Large-Scale Dataset', 'Large-scale dataset', 'Multimodal Dataset', 'Object Detection', 'Object detection', 'Visual Object Detection', 'Visual Recognition', 'Visual recognition', 'categories', 'computer vision', 'image classification', 'image recognition', 'imagenet', 'images', 'large scale', 'large scale dataset', 'visual recognition'},
    month = {dec},
    publisher = {TIB},
    title = {ImageNet Large Scale Visual Recognition Challenge},
    url = {https://service.tib.eu/ldmservice/dataset/imagenet-large-scale-visual-recognition-challenge},
    year = {2024}
}