A collection of semantic segmentation approaches
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Updated
Dec 3, 2019 - Python
A collection of semantic segmentation approaches
Using Fast KNN for an image captioning task
PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset
labeling tool that allows easy plugin of detection networks that can assist in the labeling process
SacreEOS experiments
Course project for COMP 6130 Data Mining, Summer'24, Auburn University
Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
This project extends the existing Mask-RCNN code to generate a Blum Medial Axis from a natural RGB image.
Using Image Segmentation for identifying free car parking slots
Multi-Auto-Annotate : Automatically annotate multiple labels in your entire image directory by a single command. Works with COCO dataset and also has the ability to train on custom dataset.
Python codes to implement DeMix, a DETR assisted CutMix method for image data augmentation
[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"
Deep Learning based project developed using YOLO-v5 (You Only Look Once) which helps to detect and recognize the obstacles for Autonomous Vehicles.The model developed also estimates the distance of each obstacle from initial position considered.
Reproduction of LaVisE: Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
COCO-Stuff dataset for huggingface datasets
Python dictionary storing object tags for MS-COCO images. Data from 3 different sources (COCO ground truths, VG classifier and Microsoft's VinVL) are availible.
Used deep learning to train a CNN + RNN/LSTM on the MS-COCO dataset to automatically generate captions.
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
Ladder Loss for Coherent Visual-Semantic Embedding, AAAI, 2020
A tool to download and format MS COCO dataset for multilabel classification
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