GitHub topics: scene-understanding
cs-chan/FuzzyComputerVision
A toolbox for Fuzzy Computer Vision
Language: Python - Size: 16.6 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 3

Chris1nexus/da-panopticfpn
A panoptic segmentation deep learning architecture for sim2real autonomous driving scene understanding
Language: Python - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Sbrunoberenguel/scaledLayout
Python implementation for scaled layout estimation from non-central panoramas
Language: Python - Size: 3.04 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

namratadutt/LiDARTutorial
A Brief Tutorial on LiDAR data visualisation and classification
Language: Python - Size: 7.71 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

dvssajay/Semantic-Segmentation-of-Urban-Scene-Images-Using-Recurrent-Neural-Networks
This study investigates the performance effect of using recurrent neural networks (RNNs) for semantic segmentation of urban scene images, to generate a semantic output map with refined edges. We proposed three deep neural network architectures using recurrent neural networks and evaluated them on the Cityscapes dataset. All three proposed architectures outperformed the baseline and shown improvement in classifying edges. Additionally, we showed a new method for using RNN for any prior semantic segmentation network that makes use of skip connections. PyTorch was the selected framework for conducting this study.
Language: Python - Size: 52.7 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

kjanjua26/Do_Cross_Modal_Systems_Leverage_Semantic_Relationships
This is the code for our ICCV'19 paper on cross-modal learning and retrieval.
Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

kjanjua26/Image_To_Image_Retrieval
This repository contains code for image-to-image retrieval using different architectures. We test dilated CNN for the problem as well.
Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

sbatururimi/Semantic-Segmentation
Label the pixels of a road in images using a Fully Convolutional Network (FCN).
Language: Python - Size: 38.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

DhruvaKumar/CarND-Semantic-Segmentation
Pixel segmentation of roads from dashboard camera using Fully Convolutional Network
Language: Jupyter Notebook - Size: 6.18 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

surmenok/sdc_perception
Implementation of inference for self-driving car perception tasks like object detection
Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
