Multi-Modality Tracker Aggregation: From Generative to Discriminative
Authors: Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments demonstrate the effectiveness of our work. In this section, we test the proposed multi-modality ranking aggregation based tracking algorithm (MRAT) on several challenging sequences. |
| Researcher Affiliation | Collaboration | Xiaoqin Zhang1, Wei Li2, Mingyu Fan1, Di Wang1, Xiuzi Ye1 1College of Mathematics & Information Science, Wenzhou University, Zhejiang, China 2Taobao(China) Software Company Limited, Zhejiang, China zhangxiaoqinnan@gmail.com, yichan.lw@taobao.com, {fanmingyu, wangdi, yexiuzi}@wzu.edu.cn |
| Pseudocode | No | The paper includes a flowchart (Fig. 2) but does not provide structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper provides links to the source codes of other trackers used for comparison (e.g., MIL, LRST, VDT, OBT, CMIL), but it does not provide concrete access to the source code for the proposed MRAT method itself. |
| Open Datasets | No | The paper mentions testing on 'several challenging sequences' like Car, Boat, Surf, etc., and that 'The groundtruth is marked by hand'. However, it does not provide concrete access information (link, DOI, or formal citation for a publicly available dataset) for these sequences. |
| Dataset Splits | No | The paper does not provide specific details on how the dataset was split into training, validation, and test sets. It mentions a 'prediction process' and 'tracking process' but not formal data partitioning. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (CPU, GPU, or memory specifications) used to run the experiments. |
| Software Dependencies | No | The paper does not list any specific software dependencies or their version numbers (e.g., programming languages, libraries, or frameworks). |
| Experiment Setup | Yes | Some important parameters are set as follows: N = 600, k = 90, α0 i = 1, m = 1.1 or 0.9, σ = 2. |