taxonomy - PapersWithCode API - 检索所有区域-任务-子任务分类法

Question

我正在寻找 PapersWithCode 的完整分类:区域-任务-子任务。PaperswithCode 网站:https://paperswithcode.com/PaperswithCode API:https://paperswithcode.com/api/v1/docs/

我已经尝试使用 PapersWithCode-API这是我请求的一个 Python 示例，希望构建区域-任务-子任务映射。

import request
area_id = 'computer-vision'
q = f'https://paperswithcode.com/api/v1/areas/{area_id}/tasks/?page=1&items_per_page=500'
res = requests.get(q).json()

输出:

[{'id': 'aesthetics-quality-assessment',
  'name': 'Aesthetics Quality Assessment',
  'description': 'Automatic assessment of aesthetic-related subjective ratings.'},
 {'id': 'user-constrained-thumbnail-generation',
  'name': 'User Constrained Thumbnail Generation',
  'description': 'Thumbnail generation is the task of generating image thumbnails from an input image.\r\n\r\n<span style="color:grey; opacity: 0.6">( Image credit: [User Constrained Thumbnail Generation using Adaptive Convolutions](https://arxiv.org/pdf/1810.13054v3.pdf) )</span>'},
 {'id': 'sensor-fusion',
  'name': 'Sensor Fusion',
  'description': '**Sensor Fusion** is the broad category of combining various on-board sensors to produce better measurement estimates. These sensors are combined to compliment each other and overcome individual shortcomings.\r\n\r\n\r\n<span class="description-source">Source: [Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements ](https://arxiv.org/abs/1809.07677)&lt;/span&gt;'},
 {'id': 'lip-sync-1',
  'name': 'Constrained Lip-synchronization',
  'description': 'This task deals with lip-syncing a video (or) an image to the desired target speech. Approaches in this task work only for a specific (limited set) of identities, languages, speech/voice. See also: Unconstrained lip-synchronization - https://paperswithcode.com/task/lip-sync'},
 {'id': 'online-multi-object-tracking',
  'name': 'Online Multi-Object Tracking',
  'description': 'The goal of **Online Multi-Object Tracking** is to estimate the spatio-temporal trajectories of multiple objects in an online video stream (i.e., the video is provided frame-by-frame), which is a fundamental problem for numerous real-time applications, such as video surveillance, autonomous driving, and robot navigation.\r\n\r\n\r\n<span class="description-source">Source: [A Hybrid Data Association Framework for Robust Online Multi-Object Tracking ](https://arxiv.org/abs/1703.10764)&lt;/span&gt;'},
 {'id': 'cross-domain-few-shot',
  'name': 'Cross-Domain Few-Shot',
  'description': ''}, ...]

我检查了整个响应，没有关于每个任务是否有父任务或子任务的信息。

Answer 1

我正在朝着类似的方向努力。他们似乎尚未从客户端 API 或其数据存储库提供任务子任务分类:https://github.com/paperswithcode/paperswithcode-data

也许您可以尝试发送电子邮件进行协作或使用抓取工具。