CARIS: Context-Aware Referring Image Segmentation

This repository is for the ACM MM 2023 paper "CARIS: Context-Aware Referring Image Segmentation". Code is available here.

Pretrained CARIS Models

We have released pretrained CARIS models including:

  • standard: 4 models trained on the training split of RefCOCO/RefCOCO+/RefCOCOg separately,
  • combined: 1 model trained on the combination of the training splits of RefCOCO/RefCOCO+/RefCOCOg(umd split).

Performance (standard)

Dataset [email protected] [email protected] [email protected] Overall IoU Mean IoU
RefCOCO val 87.92 80.99 39.54 75.13 77.41
RefCOCO testA 91.13 84.55 40.06 78.19 79.71
RefCOCO testB 83.75 84.82 40.47 71.75 74.51
RefCOCO+ val 79.97 73.54 36.15 66.63 70.66
RefCOCO+ testA 85.33 79.17 36.87 72.17 74.82
RefCOCO+ testB 71.81 63.51 33.48 58.54 63.97
RefCOCOg val(U) 77.39 68.57 32.62 64.32 68.61
RefCOCOg test(U) 78.11 69.06 32.27 65.82 69.02
RefCOCOg val(G) 76.72 68.72 34.03 63.84 67.80

Performance (combined)

Dataset [email protected] [email protected] [email protected] Overall IoU Mean IoU
RefCOCO val 88.94 81.93 40.75 76.63 78.49
RefCOCO testA 91.50 84.80 40.14 79.40 80.21
RefCOCO testB 84.51 76.25 41.92 73.52 75.42
RefCOCO+ val 81.07 74.56 37.00 68.02 71.81
RefCOCO+ testA 86.10 80.00 37.98 73.69 75.75
RefCOCO+ testB 72.76 65.13 35.51 60.41 65.15
RefCOCOg val(U) 80.84 71.73 35.07 67.95 71.53
RefCOCOg test(U) 81.91 73.22 34.95 69.75 72.18
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