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awesome-cv-foundational-models

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

ciwt

This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.

cl-mae

computer_vision

Algorithm and technoques based on computer vision

fakenewsdetection

This repository is created to do various experimentation with nutrient labels of news and social media comments.

machine_fault_detection_cnn

mae_exp

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

medical_image_segmentation

Segmentation of Thoraci Region: U-Net and V-Net implementation

nutrition_labels

This repository is created to do various experimentation with nutrient labels of news and social media comments.

objectdetection_ratinanet

Object detection on natural images using implementation of RatinaNet

optimization-benchmark

Benchmarking optimization function

pcl

Point Cloud Library (PCL)

pedestriantrajectoryclustering

Automatic classification of pedestrian trajectories using clustering techniques.

segthor

Segmentation of Thoracic Organs in CT images

seminar

simple-k-means-clustering-python

Simple k-means clustering (centroid-based) using Python

thermal-synth

## ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios

vifm_survey

Foundation Models for Video Understanding: A Survey

vifmsurvey

Foundation Models for Video Understanding: A Survey

vision-transformer-pytorch

Pytorch implementation of Vision Transformer (ICLR 2021)

vqa

Weakly Supervised Grounding for VQA in Vision-Language Transformers