CASS achieves 44.4 average mIoU across eight open-vocabulary segmentation benchmarks by injecting DINO's low-rank spectral attention structure into CLIP and adjusting text embeddings with an object presence prior.
Shrinkage Function And Its Applications In Matrix Approximation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The shrinkage function is widely used in matrix low-rank approximation, compressive sensing, and statistical estimation. In this article, an elementary derivation of the shrinkage function is given. In addition, applications of the shrinkage function are demonstrated in solving several well-known problems, together with a new result in matrix approximation.
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation
CASS achieves 44.4 average mIoU across eight open-vocabulary segmentation benchmarks by injecting DINO's low-rank spectral attention structure into CLIP and adjusting text embeddings with an object presence prior.