Open-World Semi-Supervised Learning

Benchmark Model Rank Results
open-world-semi-supervised-learning-on-imagenet-100-temi-splitORCA (ResNet-50)#2Novel accuracy (50% Labeled): 72.1Seen accuracy (50% Labeled): 89.1…
open-world-semi-supervised-learning-on-cifar-10ORCA (ResNet-18)#3All accuracy (10% Labeled): 84.1All accuracy (50% Labeled): 89.7…
open-world-semi-supervised-learning-on-cifar-100ORCA (ResNet-18)#3All accuracy (10% Labeled): 38.6Novel accuracy (10% Labeled): 31.8…
novel-object-detection-on-lvis-v1-0-valORCA Cao et al. (2022)#4All mAP: 2.03Known mAP: 20.57Novel mAP: 0.49