Pinned Repositories
avod
Code for 3D object detection for autonomous driving
BLVD
Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
caffe-tensorflow
Caffe models in TensorFlow
d
emmm
FPN_Tensorflow
A Tensorflow implementation of FPN detection framework.
frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
M2Det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
models
Models and examples built with TensorFlow
VCCIV's Repositories
VCCIV/BLVD
Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
VCCIV/avod
Code for 3D object detection for autonomous driving
VCCIV/caffe-tensorflow
Caffe models in TensorFlow
VCCIV/d
emmm
VCCIV/FPN_Tensorflow
A Tensorflow implementation of FPN detection framework.
VCCIV/frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
VCCIV/HRNet-Object-Detection
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
VCCIV/M2Det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
VCCIV/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
VCCIV/models
Models and examples built with TensorFlow
VCCIV/MV3D_TF
Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)
VCCIV/second.pytorch
SECOND for KITTI object detection
VCCIV/SR-LSTM
States Refinement LSTM
VCCIV/TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
VCCIV/Trajectron-plus-plus
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).