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Found 7 papers, 1 papers with code
Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation
To ensure the semantic consistency of the retrieved cross modal prior knowledge, a cross-modal semantic alignment module (SAM) is proposed.
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection
Humans can easily distinguish the known and unknown categories and can recognize the unknown object by learning it once instead of repeating it many times without forgetting the learned object.
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection
Sound event localization and detection (SELD) involves sound event detection (SED) and direction of arrival (DoA) estimation tasks.
TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network
To fully exploit the complementary nature of the two modalities, a novel triple branch gait recognition framework, TriGait, is proposed in this paper.
Open-World Object Detection via Discriminative Class Prototype Learning
Open-world object detection (OWOD) is a challenging problem that combines object detection with incremental learning and open-set learning.
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Diabetic retinopathy (DR) is one of the leading causes of blindness.
Multi-vision Attention Networks for On-line Red Jujube Grading
To solve the red jujube classification problem, this paper designs a convolutional neural network model with low computational cost and high classification accuracy.
