Results 11 to 20 of about 3,303,380 (365)
A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs [PDF]
SIGMOD Conference, 2016 Sorting is at the core of many database operations, such as index creation, sort-merge joins, and user-requested output sorting. As GPUs are emerging as a promising platform to accelerate various operations, sorting on GPUs becomes a viable endeavour ...
Elias Stehle, H. Jacobsen
semanticscholar +3 more sources
BoT-SORT: Robust Associations Multi-Pedestrian Tracking [PDF]
arXiv.org, 2022 The goal of multi-object tracking (MOT) is detecting and tracking all the objects in a scene, while keeping a unique identifier for each object. In this paper, we present a new robust state-of-the-art tracker, which can combine the advantages of motion ...
Nir Aharon, Roy Orfaig, B. Bobrovsky
semanticscholar +1 more source
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking [PDF]
Computer Vision and Pattern Recognition, 2022 Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that objects move linearly. While this assumption is acceptable for very short periods of occlusion, linear estimates of motion for prolonged time can be highly ...
Jinkun Cao +4 more
semanticscholar +1 more source
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking [PDF]
AAAI Conference on Artificial Intelligence, 2023 Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and appearance information), which exhibit powerful instance ...
Ming-Hsuan Yang +6 more
semanticscholar +1 more source
Rank & Sort Loss for Object Detection and Instance Segmentation [PDF]
IEEE International Conference on Computer Vision, 2021 We propose Rank & Sort (RS) Loss, a ranking-based loss function to train deep object detection and instance segmentation methods (i.e. visual detectors).
Kemal Oksuz +3 more
semanticscholar +1 more source
Applied Sciences, 2022 Multi-Object Tracking (MOT) techniques have been under continuous research and increasingly applied in a diverse range of tasks. One area in particular concerns its application in navigation tasks of assistive mobile robots, with the aim to increase the ...
Ricardo Pereira +3 more
semanticscholar +1 more source
The Qualitative Report, 2021 The Sort and Sift, Think and Shift qualitative data analysis approach is an iterative process where analysts dive into data to understand its content, dimensions, and properties, and then step back to assess what they have learned and to determine next ...
Raymond C. Maietta +4 more
semanticscholar +1 more source
Bucket Oblivious Sort: An Extremely Simple Oblivious Sort [PDF]
SIAM Symposium on Simplicity in Algorithms, 2020 We propose a conceptually simple oblivious sort and oblivious random permutation algorithms called bucket oblivious sort and bucket oblivious random permutation.
Gilad Asharov +5 more
semanticscholar +1 more source
NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD
Symposium on Field Programmable Gate Arrays, 2021 As the size of data generated every day grows dramatically, the computational bottleneck of computer systems has been shifted toward the storage devices.
Sahand Salamat +5 more
semanticscholar +1 more source
Flip-sort and combinatorial aspects of pop-stack sorting [PDF]
Discrete Mathematics & Theoretical Computer Science, 2020 Flip-sort is a natural sorting procedure which raises fascinating combinatorial questions. It finds its roots in the seminal work of Knuth on stack-based sorting algorithms and leads to many links with permutation patterns. We present several structural,
Andrei Asinowski +2 more
semanticscholar +1 more source