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ats_mvit

Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)

bag-of-visual-words

Bag of visual words (BOVW) is commonly used in image classification. Its concept is adapted from information retrieval and NLP’s bag of words (BOW).

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffemobilenet-ssdlitedetections

Here I have used MobileNet-SSD, deep learning objection technique, for detecting various objects in the UC-Win/Road virutal reality based enviroment. The results of the standard MobileNet-SSD detector was not good enough. Therefore, Transfer Learning Technique is used for fine tuning of the model. Then the new model is applied for detection of the UC-Win/Road objects.

car-number-plate-detection-opencv-python

Detecting Number plate from images of cars using openCV

copy_paste_aug_detectron2

Copy-paste augmentation in detectron2 pipeline

dali_changes

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

data

detectron2-resnest

A fork of Detectron2 with ResNeSt backbone

diffusiondetcustom

PyTorch implementation of DiffusionDet for Custom Datasets (https://arxiv.org/abs/2211.09788)

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

efficientdet0-hardhat-detection

esvit

EsViT: Efficient self-supervised Vision Transformers

face-detection

face-liveness

face-mask-detection-tf2

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

facenet-caffe

fairseq-signals

A collection of deep learning models for ECG data processing based on fairseq framework

faster-rcnn-cplusplus2

faster-rcnn c++ python model

faster_rcnn_cplusplus

C++ inference interface against the object detection neural networks trained with Faster R-CNN.

fire_classification

fmcg-fast-moving-consumer-goods-detection

This repository implements three detection algorithms on the given dataset and compares their performance.

gru-differencing-prediction

hoard_updated

The Hoard Memory Allocator: A Fast, Scalable, and Memory-efficient Malloc for Linux, Windows, and Mac.

house-prices-advanced-regression-techniques

Used linear and ridge regression to predict house sales prices

hungrygeek16

learnopencv

Learn OpenCV : C++ and Python Examples

licenseplatedetection

License plate Object Detection through YOLOv3 and Recognition through pytesseract

maskyolo_caffe

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN