This paper considers a type of incremental aggregated gradient (IAG) met...
Retrieving charts from a large corpus is a fundamental task that can ben...
Transformer is beneficial for image denoising tasks since it can model
l...
Deep learning has seen rapid growth in recent years and achieved
state-o...
This paper explores the multi-scale aggregation strategy for scene text
...
Scene text erasing seeks to erase text contents from scene images and cu...
Spiking Neural Networks (SNNs) have piqued researchers' interest because...
Given partial objects and some complete ones as references, point cloud
...
Generating point clouds from structures is a highly valued method to con...
In point cloud generation and completion, previous methods for transform...
Knowledge distillation (KD) has recently emerged as a powerful strategy ...
Document layout analysis (DLA) plays an important role in information
ex...
Segmentation of infected areas in chest CT volumes is of great significa...
As an effective way of metric learning, triplet loss has been widely use...
In this paper, we establish a novel bottom-up cue named Convex Hull Over...