Datasets & Competitions
CIFAR-10 and CIFAR-100 datasets comprise images of 10 and 100 categories, respectively, with a fixed size of 32x32 pixels in color.
Tiny-ImageNet dataset consists of 200 categories with approximately 120,000 samples, where each class contains 500 training images, 50 validation images, and 50 test images, with each image sized at 64 x 64.
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The Tiny-ImageNet dataset contains 200 categories and approximately 120,000 samples. The CIFAR-10 and CIFAR-100 datasets respectively contain 10 and 100 categories.
All experiments were conducted on a server equipped with two NVIDIA A100 GPUs (each with 80GB memory), running the Ubuntu 20.04 operating system and the CUDA 11.8 computing platform under the Pytorch 1.8 framework. The server has 256GB of memory and is powered by a 64-core Intel(R) Xeon(R) Gold 6326 CPU @ 2.90GHz.
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CIFAR-10 and CIFAR-100 datasets comprise images of 10 and 100 categories, respectively, with a fixed size of 32x32 pixels in color.
Tiny-ImageNet dataset consists of 200 categories with approximately 120,000 samples, where each class contains 500 training images, 50 validation images, and 50 test images, with each image sized at 64 x 64.
AG News dataset consists of article titles and descriptions, comprising 4 categories with 127,600 samples.
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