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Name: Zhichao Li
Type: User
Name: Zhichao Li
Type: User
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
A curated list of awesome neural radiance fields papers
Caffe: a fast open framework for deep learning.
faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)
re-implementation of googlenet batch normalization
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
My Dotfiles
Torch implementation of DT-RAM and training scripts
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
Google Inception (deepdream) v3 for Caffe
code for Holistically-Nested Edge Detection
GoogleNet Inception v3
[ICRA 2024] Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Useful code of Manuel Ignacio López Quintero
[ICCV 2019] Monocular depth estimation from a single image
An MXNet implementation of Mask R-CNN
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
some test to implement cv::Mat conversion to numpy.array
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
SAM: Sharpness-Aware Minimization (PyTorch)
This repo is UNMAINTAINED and DEPRECATED, 代码已过时,请使用下面的模板
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