Search Results for author:
Found 4 papers, 3 papers with code
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
SISeg does not require training a semantic or/and instance segmentation model and avoids the need for instance-level image annotations.
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
However, these models primarily learn low-level features and require annotated data for fine-tuning.
Ranked #2 on
Cross-Modal Retrieval
on RSITMD
(using extra training data)
Learning to Reduce Information Bottleneck for Object Detection in Aerial Images
In this letter, we first underline the importance of the neck network in object detection from the perspective of information bottleneck.
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification
Our method can jointly re-cover the underlying clean data, clean labels and clean weighting spaces by decomposing the original data, predicted soft labels or weights into a clean part plus an error part by fitting noise.
