Find-Lane-Line
This project is to use openCV library and Python to detect the road-lane-line.
Data Pipeline
Step one : Color Selection
Step two : Canny Edge Detection
Step three : Region of Interest
Step four : Hough Transform Line Detection
This project is to use openCV library and Python to detect the road-lane-line.
Step one : Color Selection
Step two : Canny Edge Detection
Step three : Region of Interest
Step four : Hough Transform Line Detection
ENet-keras This is an implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation, ported from ENet-training (lua-t
Replication Package for "An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Data
Uncertainty-based OOD detection Exploring the link between uncertainty estimates obtained by "exact" Bayesian inference and out-of-distribution (OOD)
AdvDrop Code for "AdvDrop: Adversarial Attack to DNNs by Dropping Information(ICCV 2021)." Human can easily recognize visual objects with lost informa
Zero-Shot Domain Adaptation with a Physics Prior [arXiv] [sup. material] - ICCV 2021 Oral paper, by Attila Lengyel, Sourav Garg, Michael Milford and J
paper list in the area of reinforcenment learning for recommendation systems
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Keras RetinaNet Keras implementation of RetinaNet object detection as described in Focal Loss for Dense Object Detection by Tsung-Yi Lin, Priya Goyal,
U-GAT-IT — Official TensorFlow Implementation (ICLR 2020) : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization fo
darknet格式数据→COCO darknet训练数据目录结构(详情参见dataset/darknet): darknet ├── class.names ├── gen_config.data ├── gen_train.txt ├── gen_valid.txt └── images
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Official implementation of ACC, described in the paper "Adaptively Calibrated C
This project aims to segment 4 common retinal lesions from Fundus Images.
The proposed work aims at converting american sign language gestures into English that can be understood by everyone in real time.
CSKG: The CommonSense Knowledge Graph CSKG is a commonsense knowledge graph that combines seven popular sources into a consolidated representation: AT
shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t
PixMix Introduction In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard te
Facestar Dataset Description Existing audio-visual datasets for human speech are either captured in a clean, controlled environment but contain only a
Official codes for "Efficient Training of Visual Transformers with Small Datasets", NerIPS 2021.