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Models/Team VGAI (TCS Research)

Team VGAI (TCS Research)

Reported on 15 benchmarks across 3 tasks

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

Computer Vision10 results

  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.37
    best: 0.44 (ACRV Baseline)
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.09
    best: 0.35 (Demo_semantic_SLAM)
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    0.97
    best: 1 (ACRV Baseline)
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.74
  • Scene ParsingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.59
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.37
    best: 0.44 (ACRV Baseline)
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.09
    best: 0.35 (Demo_semantic_SLAM)
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    0.97
    best: 1 (ACRV Baseline)
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.74
  • Scene UnderstandingonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.59

Audio5 results

  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    OMQ
    0.37
    best: 0.44 (ACRV Baseline)
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_fp_quality
    0.09
    best: 0.35 (Demo_semantic_SLAM)
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_label
    0.97
    best: 1 (ACRV Baseline)
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_pairwise
    0.74
  • 2D Semantic SegmentationonSemantic Scene Understanding Challenge (passive actuation & ground-truth localisation)
    avg_spatial
    0.59