
Parallel External Sorting of ASCII Records Using Learned ...
May 8, 2023 · External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge …
Vehicle Detection and Counting using Deep Learning based YOLO ...
Oct 5, 2022 · Multi vehicular tracking is adopted using Deep SORT algorithm to track the vehicles in video frames. Model was trained for six different classes, using Google Colaboratory.
MinkSORT: A 3D deep feature extractor using sparse ...
Jul 11, 2023 · MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants
Conditional Random Fields as Recurrent Neural Networks for 3D ...
Jul 19, 2018 · As far as we know this is the first publicly available implementation of this sort. We tested the algorithm with two distinct 3D medical imaging datasets, we concluded that the …
Spot Evasion Attacks: Adversarial Examples for License Plate ...
Oct 27, 2019 · In this paper, we propose an evasion attack on CNN classifiers in the context of License Plate Recognition (LPR), which adds predetermined perturbations to specific regions …
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic ...
Aug 24, 2022 · The logistics of transporting a package from a storage facility to the consumer's front door usually employs highly specialized robots often times splitting sub-tasks up to …
Learning a Sensor-invariant Embedding of Satellite Data: A ...
Jul 19, 2021 · I.e., a common feature representation shared by all inputs, such that subsequent processing steps deliver comparable output irrespective of which sort of input image was …
Stroke extraction for offline handwritten mathematical ...
May 16, 2019 · The proposed algorithm first break down the skeleton of a binarized image into junctions and segments, then segments are merged to form strokes, finally the ordering is …
R2D2: Recursive Transformer based on Differentiable Tree for ...
Jul 2, 2021 · However, existing deep models with stacked layers do not explicitly model any sort of hierarchical process. This paper proposes a recursive Transformer model based on …