4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment
Gil Shapira, Noga Levy, Ishay Goldin +1
Facial landmarks (FLM) estimation is a critical component in many face-related applications. In this work, we aim to optimize for both accuracy and speed and explore the trade-off…
cs.CV2021
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
Alexandra Dana, Maor Shutman, Yotam Perlitz +3
General object detectors use powerful backbones that uniformly extract features from images for enabling detection of a vast amount of object types. However, utilization of such ba…
cs.CV2021★ 4 cited
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror, Niv Zehngut, Avraham Raviv +3
Despite the increasing prevalence of deep neural networks, their applicability in resource-constrained devices is limited due to their computational load. While modern devices exhi…