VSI-Super-Recall
A benchmark designed to evaluate the performance of models in recalling spatial information from video data.
A benchmark designed to evaluate the performance of models in recalling spatial information from video data.
A widely used dataset for image classification tasks consisting of 60,000 32×32 color images in 10 classes.
A smaller version of the ImageNet dataset, containing 200 classes with 500 training images per class, used for image classification tasks.
A type of language model that utilizes recurrent neural networks with nonlinear activation functions to process sequences of data.
A trading system that utilizes cognitive computing techniques to make decisions based on market data.
A comprehensive review and synthesis of existing research on reasoning behaviors in large language models.
Lightweight smart glasses equipped with a high-resolution RGB camera and 3D pose estimation capabilities.
A complex scheduling problem where jobs with various operations need to be assigned to machines in a flexible manner to optimize performance metrics.
A linear probe is a simple linear classifier used to evaluate the performance of features extracted from a pre-trained model.
Fine-grained classification refers to the task of distinguishing between categories that are very similar to each other.