Modified state-of-the-art EfficientPS model by replacing the instance head (Mask-RCNN) with SOLOv2, making it a location based-panoptic segmentation model.
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Updated
Mar 2, 2023
Modified state-of-the-art EfficientPS model by replacing the instance head (Mask-RCNN) with SOLOv2, making it a location based-panoptic segmentation model.
Detection Transformer
ROS messages for Instance, Semantic, and Panoptic Segmentation as well as 2D/3D Object Detection
Documentação da quali sobre segmentações e deep learning.
Something to do with Math I think
Python package for SOTA computer vision tasks.
Panoptic Segmentation on The Cityscapes Dataset for traffic environments.
using the DETR pre-trained model to detect objects on an image.
A tutorial to try prediction using pre-trained models.
Deep Learning Using Advanced Sensing
code for "PVO: Panoptic Visual Odometry", CVPR 2023
CARL-D comprises large-scale stereo vision-based driving videos captured from more than 100 cities of Pakistan, including motorways, dense and unpattern traffic scenarios of urban, rural, and hilly areas.
Survey Paper - Panoptic Segmentation
This repository refers to the article Semantic Image Collection Summarization with Frequent Subgraph Mining.
A panoptic segmentation deep learning architecture for sim2real autonomous driving scene understanding
Detect sky horizontal line using panoptic segmentation
Modification to the state-of-the-art EfficientPS model by replacing its instance head (Mask-RCNN) with SOLOv2, making it a location based-panoptic segmentation model
This repository contains the example of fine-tuning panoptic segmentation model.
This repository was created to store learning of the Image Segmentation from A to Z course.
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