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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
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Pei Sun
Henrik Kretzschmar
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Focal Loss for Dense Object Detection
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Deep Residual Learning for Image Recognition
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Alexander Herzog
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Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
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Domain randomization for transferring deep neural networks from simulation to the real world
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Rachel Fong
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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
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Spatial as Deep: Spatial CNN for Traffic Scene Understanding
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Jianping Shi
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Distributed Distributional Deterministic Policy Gradients
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Modeling Visual Context Is Key to Augmenting Object Detection Datasets
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Focal Loss for Dense Object Detection
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Priya Goyal
Ross Girshick
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End-To-End Robotic Reinforcement Learning without Reward Engineering
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Chelsea Finn
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Moustapha Cissé
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From Coarse to Fine: Robust Hierarchical Localization at Large Scale
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César Cadena
Roland Siegwart
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Pyramid Scene Parsing Network
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Leveraging Shape Completion for 3D Siamese Tracking
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You Only Look Once: Unified, Real-Time Object Detection
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Atıl Işçen
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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
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Densely Connected Convolutional Networks
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SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
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Wei Wu
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Memory Aware Synapses: Learning What (not) to Forget
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Francesca Babiloni
Mohamed Elhoseiny
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Tinne Tuytelaars
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Class-Balanced Loss Based on Effective Number of Samples
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Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge Belongie
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Monocular Vehicle Self-localization method based on Compact Semantic Map
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2018
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Zhongyang Xiao
Kun Jiang
Shichao Xie
Tuopu Wen
Chunlei Yu
Diange Yang
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1
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Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
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Todd Hester
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Bottom-Up Object Detection by Grouping Extreme and Center Points
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Xingyi Zhou
Jiacheng Zhuo
Philipp Krähenbühl
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Continuous Deep Q-Learning with Model-based Acceleration
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Timothy Lillicrap
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Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
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Qilong Wang
Fan Yang
Weiqi Zhang
Wangmeng Zuo
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