paper

Somethings about deeplearning,classic cnn networks,kitti-3d-detection,pointcloud perception, etc.,and the more PLUS in the filename, the more worthy of recommendation.

Welcome to add more valuable things,PR please.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
.idea		.idea
2D-Detection		2D-Detection
2d-3d-detection-new		2d-3d-detection-new
3D-cnn		3D-cnn
3D-perception		3D-perception
3D-shape		3D-shape
CPP-RL		CPP-RL
DL-net&tricks		DL-net&tricks
FasterRCNN-series		FasterRCNN-series
IOU-Det		IOU-Det
KITTI-3D-Perception-TopRank		KITTI-3D-Perception-TopRank
ModelNetBenchMark-3D_Classfiy		ModelNetBenchMark-3D_Classfiy
PC-CVPR2019		PC-CVPR2019
binary-convolution		binary-convolution
lidar-image		lidar-image
pc_deeplearning		pc_deeplearning
receptiveFiled		receptiveFiled
semantic-segmentation-for-detection		semantic-segmentation-for-detection
uncertainty		uncertainty
+++PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.pdf		+++PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.pdf
+++STD Sparse-to-Dense 3D Object Detector for Point Cloud.pdf		+++STD Sparse-to-Dense 3D Object Detector for Point Cloud.pdf
++DF-PC-CNN.pdf		++DF-PC-CNN.pdf
++Deep Hough Voting for 3D Object Detection in Point Clouds		++Deep Hough Voting for 3D Object Detection in Point Clouds
++End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.pdf		++End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.pdf
++Fast Point R-CNN.pdf		++Fast Point R-CNN.pdf
++GSPN.pdf		++GSPN.pdf
++Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf		++Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf
++Luo_Fast_and_Furious_CVPR_2018_paper.pdf		++Luo_Fast_and_Furious_CVPR_2018_paper.pdf
++Making Convolutional Networks Shift-Invariant Again.pdf		++Making Convolutional Networks Shift-Invariant Again.pdf
++PIXOR_Real-Time_3D_CVPR_2018_paper.pdf		++PIXOR_Real-Time_3D_CVPR_2018_paper.pdf
++ShuffleNet V2: Practical Guidelines for Efficient.pdf		++ShuffleNet V2: Practical Guidelines for Efficient.pdf
++centernet.pdf		++centernet.pdf
++traning_binary_network.pdf		++traning_binary_network.pdf
+AlignDet.pdf		+AlignDet.pdf
+FrustumConvNet.pdf		+FrustumConvNet.pdf
+KITTI_DATASET.pdf		+KITTI_DATASET.pdf
+KPConv: Flexible and Deformable Convolution for Point Clouds.pdf		+KPConv: Flexible and Deformable Convolution for Point Clouds.pdf
+Libra R-CNN: Towards Balanced Learning for Object Detection.pdf		+Libra R-CNN: Towards Balanced Learning for Object Detection.pdf
+PIXOR= Real-time 3D Object Detection from Point Clouds_Yang.pdf		+PIXOR= Real-time 3D Object Detection from Point Clouds_Yang.pdf
+Patch+Refinement+-+Localized+3D+Object+Detection.pdf		+Patch+Refinement+-+Localized+3D+Object+Detection.pdf
+RGB and LiDAR fusion based 3D Semantic Segmentation.pdf		+RGB and LiDAR fusion based 3D Semantic Segmentation.pdf
+RangeNet++.pdf		+RangeNet++.pdf
+ScribbleSup= Scribble-Supervised Convolutional Networks for Semantic Segmentation.pdf		+ScribbleSup= Scribble-Supervised Convolutional Networks for Semantic Segmentation.pdf
+Stereo R-CNN based 3D Object Detection for Autonomous Driving.pdf		+Stereo R-CNN based 3D Object Detection for Autonomous Driving.pdf
+connerNet.pdf		+connerNet.pdf
+mobilenet.pdf		+mobilenet.pdf
+nuscenses-dataset.pdf		+nuscenses-dataset.pdf
+spiderCnn.pdf		+spiderCnn.pdf
+感受野相关论文.png		+感受野相关论文.png
3DRCNN_CVPR18_slides.pdf		3DRCNN_CVPR18_slides.pdf
3DSSD.pdf		3DSSD.pdf
A Baseline for 3D Multi-Object Tracking.pdf		A Baseline for 3D Multi-Object Tracking.pdf
A General Pipeline for 3D Detection of Vehicles.pdf		A General Pipeline for 3D Detection of Vehicles.pdf
Bi-Real Net.pdf		Bi-Real Net.pdf
Deep Continuous Fusion for Multi-Sensor 3D Object Detection.pdf		Deep Continuous Fusion for Multi-Sensor 3D Object Detection.pdf
Deep Learning for Generic Object Detection= A Survey.pdf		Deep Learning for Generic Object Detection= A Survey.pdf
Deep+Hough+Voting+for+3D+Object+Detection+in+Point+Clouds.pdf		Deep+Hough+Voting+for+3D+Object+Detection+in+Point+Clouds.pdf
Deep_Parametric_Continuous_CVPR_2018_paper.pdf		Deep_Parametric_Continuous_CVPR_2018_paper.pdf
Dive Deeper Into Box for Object Detection.pdf		Dive Deeper Into Box for Object Detection.pdf
Focal Loss in 3D Object Detection.pdf		Focal Loss in 3D Object Detection.pdf
HDNET: Exploiting HD Maps for 3D Object.pdf		HDNET: Exploiting HD Maps for 3D Object.pdf
HistoryOfObjectRecognition.pdf		HistoryOfObjectRecognition.pdf
HyperNet.pdf		HyperNet.pdf
IPOD: Intensive Point-based Object Detector for Point Cloud.pdf		IPOD: Intensive Point-based Object Detector for Point Cloud.pdf
LiDAR point clouds correction acquired from a moving car based on CAN-bus data.pdf		LiDAR point clouds correction acquired from a moving car based on CAN-bus data.pdf
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling .pdf		Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling .pdf
Non-local Neural Networks.pdf		Non-local Neural Networks.pdf
Object as Hotspots: An Anchor-Free 3D Object Detection Approach.pdf		Object as Hotspots: An Anchor-Free 3D Object Detection Approach.pdf
One-Shot Object Detection without Fine-Tuning.pdf		One-Shot Object Detection without Fine-Tuning.pdf
Oriented Objects as pairs of Middle Lines.pdf		Oriented Objects as pairs of Middle Lines.pdf
Path Aggregation Network for Instance Segmentation.pdf		Path Aggregation Network for Instance Segmentation.pdf
Pillar-based Object Detection for Autonomous Driving.pdf		Pillar-based Object Detection for Autonomous Driving.pdf
Point2Sequence_AAAI2019.pptx		Point2Sequence_AAAI2019.pptx
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows.pdf		PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows.pdf
Pseudo-LiDAR%2B%2B.pdf		Pseudo-LiDAR%2B%2B.pdf
README.md		README.md
RRC_DETECTION.pdf		RRC_DETECTION.pdf
Rethinking ImageNet Pre-training		Rethinking ImageNet Pre-training
Rethinking Pseudo-LiDAR Representation.pdf		Rethinking Pseudo-LiDAR Representation.pdf
Scalability+in+Perception+for+Autonomous+Driving-+Waymo+Open+Dataset.pdf		Scalability+in+Perception+for+Autonomous+Driving-+Waymo+Open+Dataset.pdf
Simple Baselines for Human Pose Estimation.pdf		Simple Baselines for Human Pose Estimation.pdf
Submanifold Sparse Convolutional Networks.pdf		Submanifold Sparse Convolutional Networks.pdf
Training a Fast Object Detector for LiDAR Range Images.pdf		Training a Fast Object Detector for LiDAR Range Images.pdf
auto-driving_lab.txt		auto-driving_lab.txt
caad.pdf		caad.pdf
kato2015.pdf		kato2015.pdf
livox_lidar.pdf		livox_lidar.pdf
nuScenes.pdf		nuScenes.pdf

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