{
  "meta": {
    "info": "SOTA: MovieQA (video story qa) [computer vision] in the open CK format",
    "scenario": "universal",
    "scenario_uid": "3bf7371412455a8f",
    "title": "SOTA: MovieQA (video story qa) [computer vision] in the open CK format",
    "viz_engine": "ck_beta"
  },
  "notes": "",
  "source": "https://paperswithcode.com",
  "tags": [
    "sota",
    "sota-ml",
    "imported-artifact",
    "dataset movieqa",
    "task video",
    "task object tracking",
    "task visual object tracking",
    "task multi-object tracking",
    "task 3d multi-object tracking",
    "task multiple object tracking",
    "task online multi-object tracking",
    "task thermal infrared object tracking",
    "task video object tracking",
    "task action classification",
    "task skeleton based action recognition",
    "task video prediction",
    "task predict future video frames",
    "task video classification",
    "task action recognition in videos",
    "task video understanding",
    "task video alignment",
    "task video generation",
    "task video super-resolution",
    "task video frame interpolation",
    "task motion compensation",
    "task video retrieval",
    "task video recognition",
    "task video denoising",
    "task video description",
    "task video compression",
    "task video summarization",
    "task unsupervised video summarization",
    "task supervised video summarization",
    "task video-to-video synthesis",
    "task activity recognition in videos",
    "task activity prediction",
    "task motion prediction",
    "task anomaly detection in surveillance videos",
    "task video background subtraction",
    "task video compressive sensing",
    "task video similarity",
    "task action spotting",
    "task natural language moment retrieval",
    "task video deinterlacing",
    "task video story qa",
    "computer vision"
  ]
}