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Found 11 papers, 3 papers with code
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation
The proposed ScribFormer model has a triple-branch structure, i. e., the hybrid of a CNN branch, a Transformer branch, and an attention-guided class activation map (ACAM) branch.
Ranked #1 on
Semantic Segmentation
on ACDC Scribbles
Semantic Communications with Explicit Semantic Base for Image Transmission
Semantic communications, aiming at ensuring the successful delivery of the meaning of information, are expected to be one of the potential techniques for the next generation communications.
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding
We evaluate ScribbleVC on three benchmark datasets and compare it with state-of-the-art methods.
Ranked #2 on
Semantic Segmentation
on ACDC Scribbles
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance
The model achieves a more comprehensive feature representation by the features which connect global and local features.
Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network
Finally, we propose a dual-attention method consisting of node-attention and time-attention to obtain the temporal graph representation from the node embeddings, where the self-attention mechanism is employed to learn the importance of each node and each frame.
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat
In this paper, we propose a homotopy-based soft actor-critic method (HSAC) which focuses on addressing these problems via following the homotopy path between the original task with sparse reward and the auxiliary task with artificial prior experience reward.
A Hybrid Vehicle Platoon for Connected and Automated Vehicles: Formulation, Stability Analysis, and Applications
The findings have demonstrated the merits of the combined implementation of CTG and CS policy in enhancing the performance and applicability of the platoon system for CAVs.
Gaussian Context Transformer
These approaches commonly learn the relationship between global contexts and attention activations by using fully-connected layers or linear transformations.
Time-Optimal Guidance to Intercept Moving Targets by Dubins Vehicles
When the target's velocity is constant, by employing the geometric properties, those 4 candidates are transformed to a class of sufficiently smooth real-valued functions.
Optimization and Control
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Real-time cardiac cine MRI does not require ECG gating in the data acquisition and is more useful for patients who can not hold their breaths or have abnormal heart rhythms.
PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark
The ability to evaluate the TIR pedestrian tracker fairly, on a benchmark dataset, is significant for the development of this field.
