high-level-feature

UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target featu...

HierbaNetV1 is a novel convolutional neural network (CNN) architecture with a cutting-edge feature extraction technique

ML classifier trained with raw pixels as features and high level features and then comparing their accuracies