CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection

Benchmark Model Rank Results
rgb-d-salient-object-detection-on-desCoLANet#7S-Measure: 93.5Average MAE: 0.018max E-Measure: 96.3
rgb-d-salient-object-detection-on-nju2kCoLANet#2S-Measure: 93.4Average MAE: 0.029max E-Measure: 94.7
rgb-d-salient-object-detection-on-nlprCoLANet#2S-Measure: 93.5Average MAE: 0.021max E-Measure: 95.7
rgb-d-salient-object-detection-on-sipCoLANet#4S-Measure: 89.5Average MAE: 0.042max E-Measure: 93.5
rgb-d-salient-object-detection-on-stereCoLANet#6S-Measure: 90.8Average MAE: 0.039max E-Measure: 94.1