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Found 5 papers, 2 papers with code
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Finally, we propose a KNN interpolation mechanism for the mask attention module of the spotting head to better handle primitive mask downsampling, which is primitive-level in contrast to pixel-level for the image.
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Few-Shot Learning (FSL) alleviates the data shortage challenge via embedding discriminative target-aware features among plenty seen (base) and few unseen (novel) labeled samples.
CONSS: Contrastive Learning Approach for Semi-Supervised Seismic Facies Classification
Recently, seismic facies classification based on convolutional neural networks (CNN) has garnered significant research interest.
nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection
Continual Learning (CL) focuses on developing algorithms with the ability to adapt to new environments and learn new skills.
Yes-Net: An effective Detector Based on Global Information
This paper introduces a new real-time object detection approach named Yes-Net.
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