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Found 6 papers, 1 papers with code
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
The first pathway of the relation module, the actor-centric path, initially captures the temporal dynamics of individual actors and then constructs inter-actor relationships.
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
Panoramic Activity Recognition (PAR) seeks to identify diverse human activities across different scales, from individual actions to social group and global activities in crowded panoramic scenes.
Towards Robust Multimodal Prompting With Missing Modalities
Recently, multimodal prompting, which introduces learnable missing-aware prompts for all missing modality cases, has exhibited impressive performance.
CAFS: Class Adaptive Framework for Semi-Supervised Semantic Segmentation
Unlike existing semi-supervised semantic segmentation frameworks, CAFS constructs a validation set on a labeled dataset, to leverage the calibration performance for each class.
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding
Fully supervised semantic segmentation technologies bring a paradigm shift in scene understanding.
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
Road extraction from very high resolution satellite (VHR) images is one of the most important topics in the field of remote sensing.
