Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone for ...

By selecting the improved LeNet-5 proposed in this paper, the classical Convolutional Neural Network (CNN) and ResNetl01 as the basis to extract the network, and comparing the models, the detection ...

Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets. This paradigm, largely ...

A PyTorch implementation of "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual ... SSD detection layer & losses ├── ssd/ # prior boxes and SSD encoder ├── utils/ └── ...

Nowadays, image edge detection using CNNs has become a new trend due to their extremely strong learning and characterization capabilities. As shown in Tables 3, 4, experiments on the BSDS500 and NYUD ...