Computer Vision
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved …
This article presents a GPU-accelerated software design of the recently proposed model of Slanted Stixels, which represents the …
In recent years, top referred methods on object detection like R-CNN have implemented this task as a combination of proposal region …
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting …
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a …
Data augmentation is a key practice in machine learning for improving generalization performance. However, finding the best data …
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the …
Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive …
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, …