Search Results for author:
Found 5 papers, 2 papers with code
Enhancing image captioning with depth information using a Transformer-based framework
As a result, we propose a cleaned version of the NYU-v2 dataset that is more consistent and informative.
Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version
Artificial Neural Network (ANN) based techniques have dominated state-of-the-art results in most problems related to computer vision, audio recognition, and natural language processing in the past few years, resulting in strong industrial adoption from all leading technology companies worldwide.
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges.
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques
Compared with existing OMR systems, the proposed system has the least constraints and achieves a high accuracy.
MPB: A modified Poisson blending technique
Image cloning has many useful applications, such as removing unwanted objects, fixing damaged parts of images, and panorama stitching.
