Multi-class multi-instance segmentation is the task of identifying masks for multiple object
classes and multiple instances of the same class within an image. The foundational …

Scribble supervised salient object detection (SSSOD) constructs segmentation ability of
attractive objects from surroundings under the supervision of sparse scribble labels. For the …

The utilization of robust, pre-trained foundation models enables simple adaptation to specific
ongoing tasks. In particular, the recently developed Segment Anything Model (SAM) has …

Salient Object Detection (SOD) aims to identify and segment the most prominent objects in
images. Advanced SOD methods often utilize various Convolutional Neural Networks (CNN) …

Although most existing multi-modal salient object detection (SOD) methods demonstrate
effectiveness through training models from scratch, the limited multi-modal data hinders …

Aspect-Based Sentiment Analysis (ABSA) in tourism plays a significant role in
understanding tourists' evaluations of specific aspects of attractions, which is crucial for …

With the continuous development of OCR technology and the expansion of application
fields, text recognition in complex scenes has become a key challenge. Factors such as …