{
  "field_id": "F008",
  "field": "6d object pose estimation",
  "directions": [
    {
      "direction_id": "G0",
      "name": "Pose generalization to unseen objects",
      "scope": "Estimate the poses of objects unseen during training, including methods that use target-specific reference images or representations and methods that use category representations to infer pose, and where relevant size and shape, across instances."
    },
    {
      "direction_id": "G1",
      "name": "Pose recovery by observation–geometry alignment",
      "scope": "Solve or refine object pose using constraints between observations and object geometry or candidate poses. This includes local correspondences, render-based comparison, and joint multi-view constraints; a method need not use all of these approaches."
    },
    {
      "direction_id": "G2",
      "name": "Pose learning with reduced real-label dependence",
      "scope": "Obtain usable pose estimators when manually annotated poses in real images are scarce, using synthetic or self-supervised training evidence or adaptation with unlabeled target-domain data."
    },
    {
      "direction_id": "G3",
      "name": "Temporal object-pose tracking",
      "scope": "Maintain an object's 6D pose across successive observations while handling motion, unreliable observations, or recovery after tracking failure."
    },
    {
      "direction_id": "G4",
      "name": "Structured pose representation and uncertainty",
      "scope": "Represent the geometry of rotations and ambiguity in observations appropriately in pose prediction or inference, including structured rotation features, multiple plausible poses, pose distributions, or uncertainty that can be propagated."
    },
    {
      "direction_id": "G5",
      "name": "Joint multi-object pose prediction",
      "scope": "Jointly localize or distinguish multiple object instances in the same scene and predict each instance's pose, rather than only improving pose recovery for objects already localized individually."
    },
    {
      "direction_id": "G6",
      "name": "Pose data and evaluation infrastructure",
      "scope": "Create data, annotations, or evaluation protocols for object-pose research, with reusable research and evaluation infrastructure as the central contribution."
    }
  ]
}