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Found 5 papers, 3 papers with code
MAS-SAM: Segment Any Marine Animal with Aggregated Features
In underwater scenes, it exhibits substantial performance degradation due to the light scattering and absorption.
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
To this end, we first introduce a dual structure with SAM's paradigm to enhance feature learning of marine images.
TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images
To relieve these issues, in this work we propose a novel Transformer-based learning framework named TransY-Net for remote sensing image CD, which improves the feature extraction from a global view and combines multi-level visual features in a pyramid manner.
Fully Transformer Network for Change Detection of Remote Sensing Images
Then, we introduce a pyramid structure to aggregate multi-level visual features from Transformers for feature enhancement.
Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling
To generate high-quality pseudo-labels and mitigate the impact of clustering errors, we propose a novel clustering relationship modeling framework for unsupervised person Re-ID.
