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Jul 28, 2022 · In this paper, we propose a modified pyramid scale network (MPSNet) to obtain more detailed features to deal with scale variation.
In this paper, we propose a modified pyramid scale network (MPSNet) to obtain more detailed features to deal with scale variation. In this work, we have used ...
Sindagi, V.A., Patel, V.M.: CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting. · Sindagi, V.A., Patel, V.M.: A ...
In this paper, we propose a modified pyramid scale network (MPSNet) to obtain more detailed features to deal with scale variation. In this work, we have used ...
TL;DR: A novel method called Contextual Pyramid CNN (CP-CNN) for generating high-quality crowd density and count estimation by explicitly incorporating global ...
In this paper, we propose a novel architecture called. Scale Pyramid Network (SPN) for crowd counting. We use a single column structure as the backbone and ...
Missing: Modified | Show results with:Modified
In this paper, we propose a modified pyramid scale network (MPSNet) to obtain more detailed features to deal with scale variation. In this work, we have used ...
Apr 11, 2024 · This paper introduces the Fuss-Free Network (FFNet), a crowd counting deep learning model that is characterized by its simplicity and efficiency in terms of ...
Our proposed model is called as FPNCC, stands for Feature Pyramid Network for Crowd Counting. We designed this model to be able to utilize multiple outputs ...
Missing: Modified | Show results with:Modified
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network [paper] · Inception-Based Crowd Counting -- Being Fast while ...