Assignment of Hungarian Algorithm. حسب Yibin Zhang (1426579)

"…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …"

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. حسب Owen M. O’Connor (11965460)

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Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study” حسب Long Zhang (11129139)

Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... حسب Owen M. O’Connor (11965460)

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Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

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Overall framework of our proposed tracking algorithm. حسب Yi Tao (178829)

Tracking in challenging conditions. حسب Weheliye H. Weheliye (22022140)

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The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)

Excerpts from the raw acquired data set with the tracking algorithm. حسب Hannes Benecke (17409369)

Visualization of tracking results of SiamFC_TDA algorithm and comparison algorithm on challenging sequences. حسب Yi Tao (178829)

Performance of the proposed tracking algorithm and comparison algorithms in three datasets. The higher the metrics, the better. حسب Yi Tao (178829)

Time-lapse microscopy movie from the bacterial mother machine test set processed by Cell-TRACTR. حسب Owen M. O’Connor (11965460)

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Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

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(A) Example illustrating the correlation between the final prediction of an object query and where the object query is derived from within the multi-scale features. Colored pixels... حسب Owen M. O’Connor (11965460)

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Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... حسب Owen M. O’Connor (11965460)

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The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these e... حسب Owen M. O’Connor (11965460)

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Schematic demonstrating how Cell-TRACTR tracks cells post-division. The dark blue cell at time t₁ is predicted to divide at time t₂. The content embedding is... حسب Owen M. O’Connor (11965460)

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Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set containing 29 movies fro... حسب Owen M. O’Connor (11965460)

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