ATTENTIONDIAGNOSIS methodsAs one of the three major outdoor components of the railroad signal system, the track circuit plays an important role in ensuring the safety and efficiency of train operation. Therefore, when a fault occurs, the cause of the fault needs to be found quickly and ...
With proper segmentation, the robot can locate and track the instruments, and use this information to plan and execute precise surgical Conclusion This study proposes a novel approach for surgical instrument segmentation, called MAF-Net, which utilizes a multi-scale attention fusion method along with...
Topic modeling techniques can be used when dealing with large-scale documents and interpreting latent topics. In terms of performance, the LDA model is known to be the most successful (Jeong et al., 2019). LDA is known as a generative probabilistic model. Using machine learning, the system ...
The problem involves agents collaborating to track moving targets in chaotic dynamic systems by communicating. Inspired by the multi-scale hierarchical time-stepper (HiTS), a novel Distributed Prediction Network based on Multi-scale Attention (DPNMA) is proposed to fuse predictions from agents at ...
Tracking supports any predict or segment models in any of the following formats (TF.js is not supported for inference, but all other formats are). Available YOLOv8 export formats are in the table below. You can predict, track or val directly on exported models, ...
Paper tables with annotated results for MuSLCAT: Multi-Scale Multi-Level Convolutional Attention Transformer for Discriminative Music Modeling on Raw Waveforms
"SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild." ECCV (2024). [paper] [project] MemVLT: Xiaokun Feng, Xuchen Li, Shiyu Hu, Dailing Zhang, Meiqi Wu, Jing Zhang, Xiaotang Chen, Kaiqi Huang. "MemVLT: Visual-Language Tracking with Adaptive Memory-based Prompts." NeurI...
使用multi-scale detection features进行多次上采样得到center heatmap。 [2021] TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking 本文首先分析了当前transtrack, trackformer这种基于transformer的MOT方法效果还不够好的原因,一个是目标太多,但是却没有显式的去表示目标之间的spatial-temporal 结构...
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele "Art Track: Articulated Multi-Person Tracking in the Wild"[paper] Manmohan Chandraker, Paul Vernaza, Wongun Choi, Samuel Schulter "Deep Network Flow for Multi-Object Tracking"[...
A multi-scale feature fusion network is the method proposed in this paper, and its output contains two branches, which are used for classification and regression, respectively. In the output header section, we introduced additional 3D Max Filtering (3DMF). Figure 6. The general framework of ...