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Research map / Detection and segmentation / Open-set and few-shot detection

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

CVPR 2022 · Detection and segmentation › Open-set and few-shot detection · approach: Object-centric learning theory and video · 67 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace ObjectFolder 1.0 with ObjectFolder 2.0 renderingObjectFolder · Vision renderingRendering time: 3.699 -> 0.062 secondsHelped
Replace ObjectFolder 1.0 with ObjectFolder 2.0 renderingObjectFolder · Audio renderingRendering time: 0.420 -> 0.035 secondsHelped
Replace ObjectFolder 1.0 with ObjectFolder 2.0 renderingObjectFolder · Touch renderingRendering time: 0.010 -> 0.014 secondsHurt
Use ObjectFolder 2.0 multisensory rendering pipelineObjectFolder · Multisensory renderingTotal rendering time: 4.129 -> 0.111 secondsHelped
Use ObjectFolder 2.0 visual representationObjectFolder · Multisensory renderingVision PSNR: 35.7 -> 36.3Helped
Use ObjectFolder 2.0 visual representationObjectFolder · Multisensory renderingVision SSIM: 0.97 -> 0.98Helped
Predict location-dependent modal gains and synthesize the remaining audio signalAudioNet · Multisensory renderingAudio STFT Distance: 4.94 -> 0.19Helped
Use ObjectFolder 2.0 tactile simulation and representationObjectFolder · Multisensory renderingTouch PSNR: 27.9 -> 31.6Helped
Train on ObjectFolder 2.0 rather than ObjectFolder 1.0 visual dataObject scale estimation · Real objectsMean scale error: 7.41 -> 5.08 cmHelped
Train on ObjectFolder 2.0 rather than ObjectFolder 1.0 audio dataObject scale estimation · Real objectsMean scale error: 6.85 -> 4.68 cmHelped
Train on ObjectFolder 2.0 rather than ObjectFolder 1.0 tactile dataObject scale estimation · Real objectsMean scale error: 4.92 -> 3.51 cmHelped
Combine tactile readings with impact soundsContact localization · Audio-tactile contact localizationMean distance to ground-truth contactHelped

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