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Publish frozen Where and partial nine-method What collection metadata
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{
"protocol": "where_frozen_v1",
"definition": "Ten fixed Where factors; pretrained predictions and explicitly specified experimental partitions, not ground-truth segmentation.",
"methods": {
"position": {
"implementation": "retained_original",
"method": "seeded PCG64 random connected radial blob",
"area_fraction": 0.25,
"regions": [
"random"
]
},
"eccentricity": {
"implementation": "retained_original",
"method": "elliptically normalized image-center radius",
"thresholds": [
0.4,
0.8
],
"regions": [
"center",
"middle",
"periphery"
]
},
"thing_stuff": {
"implementation": "OneFormer panoptic inference",
"model": "shi-labs/oneformer_ade20k_swin_large",
"revision": "4a5bac8e64f82681a12db2e151a4c2f4ce6092b2",
"definition": "official ADE20K isthing IDs; void belongs to neither; tables/cabinets may be things",
"regions": [
"thing",
"stuff"
]
},
"background": {
"implementation": "OneFormer semantic inference",
"model": "shi-labs/oneformer_ade20k_swin_large",
"revision": "4a5bac8e64f82681a12db2e151a4c2f4ce6092b2",
"classes": [
"wall",
"ceiling",
"windowpane",
"door",
"curtain",
"blind",
"building",
"house",
"skyscraper",
"sky",
"mountain",
"hill"
],
"definition": "benchmark backdrop mapping over official ADE20K semantic labels; exclude table, desk, counter and floor; not a universal binary background label",
"regions": [
"background",
"non_background"
]
},
"boundary": {
"implementation": "retained_original",
"method": "inner erosion of original Mask2Former semantic + GroundingDINO/SAM instance regions",
"erosion_iterations": "max(1, round(2 * min(H,W)/256))",
"regions": [
"boundary",
"interior"
]
},
"embodiment": {
"implementation": "RobotSeg independent one-frame inference",
"model": "showlab/RobotSeg",
"revision": "dafb8c0d507276e2f96d2b07ac3661a7b3a41a5f",
"category": "robot",
"threshold": "mask logits > 0",
"distance_band": "max(1, round(24 * min(H,W)/256))",
"regions": [
"embodiment",
"near_embodiment",
"environment"
]
},
"focal": {
"implementation": "Sa2VA-8B referring segmentation",
"model": "ByteDance/Sa2VA-8B",
"revision": "902b049acb12eb68454abf4e51ab1e23d1bc9efa",
"input": "full episode instruction, never current subtask",
"definition": "visible directly manipulated object(s)/part(s); exclude robot and destinations/supports unless manipulated",
"distance_band": "max(1, round(24 * min(H,W)/256))",
"empty_prediction": "explicit missing entry; no fallback",
"regions": [
"focal",
"near_focal",
"far_focal"
]
},
"density": {
"implementation": "retained_original",
"method": "spatial_density_objects",
"formula": "D(x)=sum_j exp(-distance(x, M_j)^2/(2*sigma^2))",
"sigma": "32 * min(H,W)/256",
"instances": "original grounded object masks; robot excluded; require at least two objects",
"cuts": [
0.3333333333333333,
0.6666666666666666
],
"regions": [
"sparse",
"intermediate",
"dense"
]
},
"saliency": {
"implementation": "DeepGaze IIE",
"model": "matthias-k/DeepGaze",
"revision": "c7db17e2d1d7ea6468ffdee2cfaddf141095dcff",
"definition": "image-conditioned visual fixation log density with uniform center-bias input",
"cuts": [
0.3333333333333333,
0.6666666666666666
],
"regions": [
"low",
"medium",
"high"
]
},
"depth": {
"implementation": "retained_original",
"model": "depth-anything/Depth-Anything-V2-Small-hf",
"definition": "relative inverse depth, larger means nearer",
"cuts": [
0.3333333333333333,
0.6666666666666666
],
"regions": [
"far",
"mid",
"near"
]
}
},
"composition": {
"baseline": "GaussianBlur(I, sigma=16.64*min(H,W)/256)",
"alpha_sigma": "max(1, min(H,W)/256)",
"alpha_kernel": "2*ceil(3*alpha_sigma)+1",
"alpha": "Gaussian feathered binary mask, rounded to uint8",
"removal": "(1-alpha)*I + alpha*baseline",
"retain": "alpha*I + (1-alpha)*baseline",
"note": "alpha in equations is saved uint8 / 255; exact integer blending; no inpainting"
},
"invalid_policy": "Preserve old skips; retain and flag new empty/full region masks; no invented masks. Missing concepts and degenerate regions are counted in validation.json.",
"preserved_concepts": [
"position",
"eccentricity",
"boundary",
"density",
"depth"
]
}