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Found 10 papers, 3 papers with code
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation
In the study reported in this paper, based on the well-known hybridization principle, we proposed a method to combine CNN and Transformer to retain the strengths of both, and we applied this method to build a system called MugenNet for colonic polyp image segmentation.
Interference-Constrained Scheduling of a Cognitive Multi-hop Underwater Acoustic Network
The network consists of primary and secondary users, with multi-hop transmission adopted for both user types to provide reliable communications.
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
In contrastive self-supervised learning, positive samples are typically drawn from the same image but in different augmented views, resulting in a relatively limited source of positive samples.
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues
Self-supervised methods based on contrastive learning have achieved great success in unsupervised visual representation learning.
XFL: A High Performace, Lightweighted Federated Learning Framework
This paper introduces XFL, an industrial-grade federated learning project.
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations
The challenge is that the max-support problem of $q$-consistent summary-explanation (MSqC) is much more complex than the original MS problem, resulting in over-extended solution time using standard branch-and-bound solvers.
Stealthy Measurement-Aided Pole-Dynamics Attacks with Nominal Models
Thirdly, the performance of the proposed MAPDAs method is explored using convergence of multivariate measurements, and MAPDAs with model mismatch have the same stealthiness and similar destructiveness as TPDAs.
TaCE: Time-aware Convolutional Embedding Learning for Temporal Knowledge Graph Completion
Temporal knowledge graph completion (TKGC) is a challenging task to infer the missing component for quadruples.
Optimization Design of Decentralized Control for Complex Decentralized Systems
A new method is developed to deal with the problem that a complex decentralized control system needs to keep centralized control performance.
Ridesourcing Car Detection by Transfer Learning
Finally, we use the resulting ensemble of RF and CNN to identify the ridesourcing cars in the candidate pool.
