2 papers
cs.CV2025
CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by…
cs.CV2024
Computer Vision Model Compression Techniques for Embedded Systems: A Survey
Alexandre Lopes, Fernando Pereira dos Santos, Diulhio de Oliveira +2
Deep neural networks have consistently represented the state of the art in most computer vision problems. In these scenarios, larger and more complex models have demonstrated super…