@misc{dataset_1094070, title = { HKU-IS显著性目标检测数据集 } author = { KOTO }, howpublished = { \url{https://www.heywhale.com/mw/dataset/5e79d1ef98d4a8002d2cbf93} } year = { 2020 } } 信息 挂载目录 /home/mw/input/dataset_1094070 数据格式 .zip 文件大小 903.2 MB 技术领域...
HKU-IS显性目标对比检测数据集 348.68M 883浏览 1 4次下载 0条讨论 Action/Event DetectionClassification 用于突出物体检测的深度对比度学习由于使用深度卷积神经网络(CNN)提取的强大特征,突出物体检测最近取得了实质性进展。然而,... Share Favorite 1 0
OpenDriveLab is committed to exploring cutting-edge embodied AI technology, launching a series of benchmarking work, open source to serve the community, and promote the common development of the industry. Friends who are committed to making influential r
📊 Dataset: HRHD-HK, CIM-WV. 🏛 University of Hong Kong 🏢 Department of Real Estate and Construction 🚪 512, Knowles Building 📧 xuef@hku.hk ☎ +852 3917 4174 📠 +852 2559 9457 Education Job experiences As trained as a multidisciplinary engineer, I am trying to solve complica...
Study results (if available) HKUCTR complies with the minimum 20-item trial registration dataset requirements set out by theICMJEandWHO. Once the trial is successfully published on HKUCTR, a unique “Study Identifier” will be allocated for reference....
R3LIVE public experimental dataset The authors of R3LIVE have published a total of 9 datasets that they have collected. Users can visit the following URL to download the datasets to reproduce and evaluate the experimental effect of R3LIVE:https://github.com/ziv-lin/r3live_dataset ...
5.1 Download our rosbag files (r3live_dataset)Our datasets for evaluation can be download from our Google drive or Baidu-NetDisk [百度网盘] (code提取码: wwxw). We have released totally 9 rosbag files for evaluating r3live, with the introduction of these datasets can be found on this page...
HKU-IS SAM2-UNet Saliency Detection HKU-IS LDF Papers Dataset Loaders Edit AddRemove No data loaders found. You cansubmit your data loader here. Tasks Edit Similar Datasets Usage Created with Highcharts 9.3.0Number of Papers20222024202120232025010203040HKU-ISSOCDUTSPASCAL-S ...
Dataset The dataset used in LightRAG can be downloaded from TommyChien/UltraDomain. Generate Query LightRAG uses the following prompt to generate high-level queries, with the corresponding code in example/generate_query.py. Prompt Given the following description of a dataset: {description} Please...
eval() messages = [ {"role": "user", "content": "Please write a Python class that implements a PyTorch trainer capable of training a model on a toy dataset."} ] inputs = tokenizer.apply_chat_template( messages, return_tensors="pt", return_dict=True, add_generation_prompt=True ) ...