ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Benchmark Model Rank Results
unsupervised-object-segmentation-on-clevrtexGNM#3mIoU: 42.25± 0.18MSE: 383± 2
unsupervised-object-segmentation-on-clevrtexDTI#4mIoU: 33.79± 1.30MSE: 438± 22
unsupervised-object-segmentation-on-clevrtexeMORL#5mIoU: 30.17± 2.60MSE: 347± 20
unsupervised-object-segmentation-on-clevrtexIODINE#6mIoU: 29.16± 0.75MSE: 340± 3
unsupervised-object-segmentation-on-clevrtexSA#7mIoU: 22.58± 2.07MSE: 254± 8
unsupervised-object-segmentation-on-clevrtexMONet#8mIoU: 19.78± 1.02MSE: 146± 7
unsupervised-object-segmentation-on-clevrtexMN#9mIoU: 10.46± 0.10MSE: 335± 1
unsupervised-object-segmentation-on-clevrtexSPACE#10mIoU: 9.14± 3.46MSE: 298± 80
unsupervised-object-segmentation-on-clevrtexGenV2#11mIoU: 7.93± 1.53MSE: 315±106
unsupervised-object-segmentation-on-clevrtexSPAIR#12mIoU: 0.0 ± 0.0MSE: 1101± 2