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Training Generative Adversarial Networks by Solving Ordinary Differential Equations
The instability of Generative Adversarial Network (GAN) training has fre...
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Neural Architecture Search of SPD Manifold Networks
In this paper, we propose a new neural architecture search (NAS) problem...
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Dense Dual-Path Network for Real-time Semantic Segmentation
Semantic segmentation has achieved remarkable results with high computat...
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Neural Architecture Search as Sparse Supernet
This paper aims at enlarging the problem of Neural Architecture Search f...
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Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures
We present a multi-UAV Coverage Path Planning (CPP) framework for the in...
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Product Kanerva Machines: Factorized Bayesian Memory
An ideal cognitively-inspired memory system would compress and organize ...
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LOGAN: Latent Optimisation for Generative Adversarial Networks
Training generative adversarial networks requires balancing of delicate ...
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Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network
Although complex-valued (CV) neural networks have shown better classific...
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6D Pose Estimation with Correlation Fusion
6D object pose estimation is widely applied in robotic tasks such as gra...
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Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
Real-time multi-target path planning is a key issue in the field of auto...
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U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery
Vegetation is the natural linkage connecting soil, atmosphere and water....
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Shaping Belief States with Generative Environment Models for RL
When agents interact with a complex environment, they must form and main...
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Deep Compressed Sensing
Compressed sensing (CS) provides an elegant framework for recovering spa...
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Learning Attractor Dynamics for Generative Memory
A central challenge faced by memory systems is the robust retrieval of a...
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Optimizing Agent Behavior over Long Time Scales by Transporting Value
Humans spend a remarkable fraction of waking life engaged in acts of "me...
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DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block
For the self-driving and automatic parking, perception is the basic and ...
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VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View
The automatic parking is being massively developed by car manufacturers ...
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TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China
TiEV is an autonomous driving platform implemented by Tongji University ...
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The Kanerva Machine: A Generative Distributed Memory
We present an end-to-end trained memory system that quickly adapts to ne...
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Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
Semantic image segmentation is one of the most challenged tasks in compu...
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