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Found 3 papers, 1 papers with code
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
Recent advances in text-conditioned image generation diffusion models have begun paving the way for new opportunities in modern medical domain, in particular, generating Chest X-rays (CXRs) from diagnostic reports.
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
Semantic segmentation has innately relied on extensive pixel-level annotated data, leading to the emergence of unsupervised methodologies.
Ranked #1 on
Unsupervised Semantic Segmentation
on Potsdam-3
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
This includes not only the masks generated by our model, but also the segmentation results derived from utilizing these masks as pseudo labels.
