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10/26/2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Self-Driven Particles (SDP) describe a category of multi-agent systems c...
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10/13/2021
Safe Driving via Expert Guided Policy Optimization
When learning common skills like driving, beginners usually have domain ...
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09/11/2021
Autonomous Underwater Vehicle-Manipulator Systems Path Planning with RRTAUVMS Algorithm
Autonomous Underwater Vehicle-Manipulator systems (AUVMS) is a new tool ...
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03/02/2021
Network Pruning via Resource Reallocation
Channel pruning is broadly recognized as an effective approach to obtain...
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12/26/2020
Improving the Generalization of End-to-End Driving through Procedural Generation
Recently there is a growing interest in the end-to-end training of auton...
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12/17/2020
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Most Visual Question Answering (VQA) models suffer from the language pri...
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09/07/2020
Channel-wise Alignment for Adaptive Object Detection
Generic object detection has been immensely promoted by the development ...
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09/02/2020
Understanding the wiring evolution in differentiable neural architecture search
Controversy exists on whether differentiable neural architecture search ...
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07/23/2020
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
We introduce a simple and versatile framework for image-to-image transla...
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04/11/2020
Inter-Region Affinity Distillation for Road Marking Segmentation
We study the problem of distilling knowledge from a large deep teacher n...
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04/01/2020
Graph Structured Network for Image-Text Matching
Image-text matching has received growing interest since it bridges visio...
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02/21/2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
If NAS methods are solutions, what is the problem? Most existing NAS met...
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11/30/2019
Learning Driving Decisions by Imitating Drivers' Control Behaviors
Classical autonomous driving systems are modularized as a pipeline of pe...
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09/25/2019
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching
Learning semantic correspondence between image and text is significant a...
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08/02/2019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
Training deep models for lane detection is challenging due to the very s...
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12/24/2018
SNAS: Stochastic Neural Architecture Search
We propose Stochastic Neural Architecture Search (SNAS), an economical e...
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12/21/2018
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
Reinforcement learning agents need exploratory behaviors to escape from ...
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11/07/2018