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Found 14 papers, 4 papers with code
Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays
The existing UAV-assisted data harvesting and dissemination schemes largely require UAVs to frequently fly between the IoTs and access points, resulting in extra energy and time costs.
OSP: Boosting Distributed Model Training with 2-stage Synchronization
However, these two types of methods can result in accuracy loss due to discarded gradients and have limited enhancement on the throughput of model synchronization, respectively.
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities
Existing methods are limited by the inconsistent point densities of different parts in the point cloud.
Ranked #4 on
Semantic Segmentation
on S3DIS
SNN-SC: A Spiking Semantic Communication Framework for Feature Transmission
However, most of the existing SC works only transmit analog information on the AWGN channel and cannot be directly used for digital channels.
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
To this end, we propose a sparse state based MARL (S2RL) framework, which utilizes a sparse attention mechanism to discard irrelevant information in local observations.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
+2
Deep Joint Source-Channel Coding for Multi-Task Network
The feature generated by the mobile device is transmitted through the wireless channel to the edge server.
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation
Deep neural networks have demonstrated remarkable performance in many data-driven and prediction-oriented applications, and sometimes even perform better than humans.
Hybrid Supervision Learning for Pathology Whole Slide Image Classification
To handle this problem, we propose a hybrid supervision learning framework for this kind of high resolution images with sufficient image-level coarse annotations and a few pixel-level fine labels.
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Specifically, Shapley Value and its desired properties are leveraged in deep MARL to credit any combinations of agents, which grants us the capability to estimate the individual credit for each agent.
Multi-agent Reinforcement Learning
reinforcement-learning
+3
SNR-adaptive deep joint source-channel coding for wireless image transmission
Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding scheme is proposed in this paper.
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death.
Attention-Aware Age-Agnostic Visual Place Recognition
Different from conventional VPR settings where the query images and gallery images come from the same domain, we propose a more common but challenging setup where the query images are collected under a new unseen condition.
Accurate Nuclear Segmentation with Center Vector Encoding
Nuclear segmentation is important and frequently demanded for pathology image analysis, yet is also challenging due to nuclear crowdedness and possible occlusion.
Signet Ring Cell Detection With a Semi-supervised Learning Framework
Our framework achieves accurate signet ring cell detection and can be readily applied in the clinical trails.
