Artificial Intelligence
In this study, MMW data are collected using a commercial handheld scanner (Vayyar's ECS2000), focusing on localized scans of the human body. The collected data are complex-valued (CV) high-resolution local 3D pseudo-images over a volume of 13×13×10 cm with spatial resolutions of 1.6 mm, 1.6 mm, and 4.3 mm in the x, y, and z directions, respectively. The compact, portable ECS2000 Vayyar's MMW scanner is built around a single RF board working in the frequency range of [60.4-69.9] GHz, housing transmitting and receiving antennas in a multiple-input multiple-output (MIMO) setup.
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we introduce our Hard Defect Classification Dataset (HDCD), which is primarily constructed based on the Multi Classifier Data (MCD) [38], a multi-source dataset comprising self-collected image samples along with contributions from several Departments of transportation inspection databases. Initially, we integrated data from diverse sources based on the defect classification criteria of the MCD. Subsequently, we partitioned the dataset into a training set and a test set. To simulate real-world challenges, we specifically curated the test set to include hard samples
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DragonVerseQA is an open-domain and long-form Over-The-Top (OTT) Question-Answering (QA) dataset specifically oriented to the fantasy universe of "The House of the Dragon" and "Game Of Thrones" TV series. The curated dataset combines full episode summaries sourced from HBO and fandom wiki websites, user reviews from sources like IMDb and Rotten Tomatoes, and high-quality, open-domain, legally admissible sources, and structured data from repositories like WikiData into one dataset.
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This dataset analyzes rail transit carriage occupancy levels, categorizing crowd density into three distinct classifications. The data collection process involved systematic monitoring of passenger distribution within subway cars during various operational hours, encompassing peak and off-peak periods. Each classification represents different degrees of crowding, providing valuable insights into passenger flow patterns and capacity utilization.
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To address common issues in intelligent driving, such as small object missed detection, false detection, and edge segmentation errors, this paper optimizes the YOLOP (You Only Look Once for Panoptic Driving Perception) network and proposes a multi-task perception algorithm based on a MKHA (Multi-Kernel Hybrid Attention) mechanism, named MKHA-YOLOP.
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BoardData is constructed from development board data provided by ST. These development boards are primarily utilized for function demonstration and platform development of STM32 series microcontrollers. They incorporate a suite of common sub-circuit modules for electronic devices, including interface modules, digital-to-analog and analog-to-digital converter modules, memory modules, comparators, touch modules, display modules, switch arrays, among others. Consequently, these boards exhibit a high degree of consistency with real PCB circuits.
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Partial dataset of CHVM-1K dataset for illustration purposes.
{
"question": "What stages can be divided into in the development history of ancient Chinese bronzes? Why?",
"answer": "The development history of ancient Chinese bronzes can be divided into several stages: Xia (2100-1600 BCE), Shang (1600-1046 BCE), Early Western Zhou (1046-771 BCE), Middle Western Zhou (771-720 BCE), Late Western Zhou (720-256 BCE), and Eastern Zhou (256-256 BCE). These stages are marked by technological advancements, stylistic evolution, and cultural significance.",
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To train and evaluate our enhancement framework, SS2DS, we establish a benchmark for the spike stream enhancement. The benchmark includes a synthetic spike stream enhancement dataset, SED, and a real sparse spike streams dataset for driving scenarios, SSDD. The SED dataset consists of 125 randomly high-speed dynamic scenes where 100 scenes are as the training set, named SED$_{tr}$, and 25 scenes are as the test set with ground truth, named SED$_{te}$. This dataset consists of 24 driving scenes and each scenario records a spike stream with 20,000 frames.
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