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Models/ACRV Baseline

ACRV Baseline

Reported on 30 benchmarks across 3 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision20 results

  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.44
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.28
    best: 0.35 (Demo_semantic_SLAM)
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    1
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.68
    best: 0.74 (Team VGAI (TCS Research))
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.51
    best: 0.59 (Team VGAI (TCS Research))
  • Scene ParsingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    OMQ
    0.35
  • Scene ParsingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_fp_quality
    0.43
  • Scene ParsingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_label
    1
  • Scene ParsingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_pairwise
    0.64
  • Scene ParsingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_spatial
    0.46
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.44
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.28
    best: 0.35 (Demo_semantic_SLAM)
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    1
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.68
    best: 0.74 (Team VGAI (TCS Research))
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.51
    best: 0.59 (Team VGAI (TCS Research))
  • Scene UnderstandingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    OMQ
    0.35
  • Scene UnderstandingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_fp_quality
    0.43
  • Scene UnderstandingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_label
    1
  • Scene UnderstandingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_pairwise
    0.64
  • Scene UnderstandingonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_spatial
    0.46

Audio10 results

  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.44
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.28
    best: 0.35 (Demo_semantic_SLAM)
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    1
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.68
    best: 0.74 (Team VGAI (TCS Research))
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.51
    best: 0.59 (Team VGAI (TCS Research))
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    OMQ
    0.35
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_fp_quality
    0.43
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_label
    1
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_pairwise
    0.64
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (active actuation & ground-truth localisation)
    avg_spatial
    0.46