Image classification and object detection techniques are important methods when it comes to working on the domain of computer vision. These techniques help machines understand and identify real-time ...

This paper discusses waste object detection, a part of the waste segregation process based on CNN hierarchical image classification approach. Here, the system is able to detect the object and provides ...

this paper uses the Convolutional Neural Network (CNN) based on transfer learning to train a pre-trained network with fewer labels. To fine-tune the network, we can realize the ground object ...

Abstract. Deep learning-based hyperspectral image (HSI) classification and object detection techniques have gained significant attention due to their vital role in image content analysis, ...

There doesn't seem to have a repository to have a list of image classification papers like deep_learning_object_detection until now. Therefore, I decided to make a repository of a list of deep ...

The DL model has an inherent advantage when it comes to SAR image processing jobs because of its deep feature extraction structure and strong feature extraction capability. Therefore, this research ...

Surrey is set to present its unique sketch-based object detection ... image to find something that matches the sketch -- while discounting more general options. Professor Yi-Zhe Song, leads this ...