Search papers, labs, and topics across Lattice.
The University of Queensland
4
0
8
Decomposing holistic visual cues into subtle, spatially-associated discrepancies allows for state-of-the-art ultra-fine-grained classification even with limited training data.
Soybean leaves have intricate vein structures that unlock state-of-the-art ultra-fine-grained visual categorization, even with limited data.
Achieve SOTA wheat disease segmentation with limited data by cleverly combining the semantic power of DINOv2 with the geometric precision of SAM.
SLMs can leapfrog performance on complex software engineering tasks by learning *when* to ask for help from larger models, achieving a 25% gain on SWE-bench with minimal expert queries.
