15 citations · 36 across the 5 of their papers we have counts for
5 papers
Adapting Segment Anything Model for Unseen Object Instance Segmentation
Rui Cao, Chuanxin Song, Biqi Yang +3
Unseen Object Instance Segmentation (UOIS) is crucial for autonomous robots operating in unstructured environments. Previous approaches require full supervision on large-scale tabl…
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition
Chuanxin Song, Hanbo Wu, Xin Ma
Variable scene layouts and coexisting objects across scenes make indoor scene recognition still a challenging task. Leveraging object information within scenes to enhance the disti…
Semantic-embedded Similarity Prototype for Scene Recognition
Chuanxin Song, Hanbo Wu, Xin Ma +1
Due to the high inter-class similarity caused by the complex composition and the co-existing objects across scenes, numerous studies have explored object semantic knowledge within…
SRRM: Semantic Region Relation Model for Indoor Scene Recognition
Chuanxin Song, Xin Ma
Despite the remarkable success of convolutional neural networks in various computer vision tasks, recognizing indoor scenes still presents a significant challenge due to their comp…
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
Chuanxin Song, Hanbo Wu, Xin Ma
Exploring the semantic context in scene images is essential for indoor scene recognition. However, due to the diverse intra-class spatial layouts and the coexisting inter-class obj…