Synthetic aperture radar (SAR) image change detection is a critical task...
Text editing is a crucial task that involves modifying text to better al...
Multi-document summarization aims to obtain core information from a
coll...
The extended structural context has made scientific paper summarization ...
Existing text summarization systems have made significant progress in re...
Extractive summarization aims to form a summary by directly extracting
s...
Extractive summarization is a crucial task in natural language processin...
Extractive summarization for long documents is challenging due to the
ex...
The computer-aided diagnosis (CAD) system can provide a reference basis ...
Abstractive summarization systems leveraging pre-training language model...
Content-based histopathological image retrieval (CBHIR) has become popul...
Unsupervised document summarization has re-acquired lots of attention in...
The dominant graph neural networks (GNNs) over-rely on the graph links,
...
Due to large variations in shape, appearance, and viewing conditions, ob...
We further exploit the representational power of Haar wavelet and presen...
This sequential technical report extends some of the previous results we...
In this report, a novel variation of Particle Swarm Optimization (PSO)
a...