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Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
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2018
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Marcin Andrychowicz
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Deep Reinforcement Learning: A Brief Survey
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Kai Arulkumaran
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How Far are We from Solving Pedestrian Detection?
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Shanshan Zhang
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Repulsion Loss: Detecting Pedestrians in a Crowd
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Xinlong Wang
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Deep Residual Learning for Image Recognition
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What Can Help Pedestrian Detection?
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2017
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Tete Xiao
Yuning Jiang
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection.
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Deep Reinforcement Learning for Autonomous Driving: A Survey
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2021
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Bangalore Ravi Kiran
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CityPersons: A Diverse Dataset for Pedestrian Detection
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2017
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Rodrigo Benenson
Bernt Schiele
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Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
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2018
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Xiao Bian
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Learning Multilayer Channel Features for Pedestrian Detection
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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Scale-aware Fast R-CNN for Pedestrian Detection
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2017
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Deformable Convolutional Networks
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
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A Simple Pooling-Based Design for Real-Time Salient Object Detection
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Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
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2017
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Ethan Holly
Timothy Lillicrap
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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2017
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Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
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Marco Andreetto
Hartwig Adam
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Feature Pyramid Networks for Object Detection
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Piotr Dollár
Ross Girshick
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Dota 2 with Large Scale Deep Reinforcement Learning
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SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
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Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection
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Filtered channel features for pedestrian detection
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Rodrigo Benenson
Bernt Schiele
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Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
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A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
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Hierarchical Saliency Detection
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CoupleNet: Coupling Global Structure with Local Parts for Object Detection
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End to End Learning for Self-Driving Cars
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Deformable part models are convolutional neural networks
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Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
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2017
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Overcoming Exploration in Reinforcement Learning with Demonstrations
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Ashvin Nair
Bob McGrew
Marcin Andrychowicz
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Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
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2018
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Stand-Alone Self-Attention in Vision Models
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Niki Parmar
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SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection
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2018
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Mohamed Elmikaty
Tania Stathaki
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Learning Self-Imitating Diverse Policies
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Hindsight Generative Adversarial Imitation Learning
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Reinforcement Learning from Imperfect Demonstrations
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Xu
Ji Lin
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Proximal Policy Optimization Algorithms
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Reverse Curriculum Generation for Reinforcement Learning
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A brief survey of deep reinforcement learning
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2017
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Kai Arulkumaran
Marc Peter Deisenroth
Miles Brundage
Anil A. Bharath
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