Search Results for author:
Found 3 papers, 1 papers with code
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
Different from the existing studies, this study aims to reduce the epistemic uncertainty measured by the entropy for a precise semantic segmentation.
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation
In contrast to existing methods, we focus on propagating complementary information such that the complementary low-level explicit boundary with abstracted high-level representations diminishes the discrepancy.
Ranked #13 on
Medical Image Segmentation
on ETIS-LARIBPOLYPDB
TRACER: Extreme Attention Guided Salient Object Tracing Network
Existing studies on salient object detection (SOD) focus on extracting distinct objects with edge information and aggregating multi-level features to improve SOD performance.
Ranked #3 on
RGB Salient Object Detection
on HKU-IS
