Shengchuan Zhang

11

Papers

25

Total Citations

Papers (11)

CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection

UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning

BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution

Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segmentation

Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment