Fast RCNN
09
Jan
1
Quantum Machine Learning; Practical Object Detector
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat is India’s No 1 open AI Lab with more than 120 AI researchers and interns engaged in advanced AI skilling and research. The first AI Lab meetup in this New Year 2020 saw amazing demos and presentations by our AI Lab members. Quantum Machine Learning (Quantum Computing) :- First Niraj Kale […]
Tags:
Bernstein–Vazirani,
boch sphere,
Constrained Scheduling,
constraint satisfaction problem,
data augmentation,
data collection,
Dwave,
entanglement,
Fast RCNN,
Faster RCNN,
feature extractor,
googlenet,
image classification,
image processing,
IOU,
mAP,
Mobilenet,
object detection,
p-bit,
qGANs,
QisKit QSVM,
quantum annealing,
quantum computing,
Quantum counting,
quantum data,
quantum gates,
quantum machine learning,
quantum neural network,
Quantum phase estimation algorithm,
quantum tunnelling,
RCNN,
Region proposals,
Shor's algorithm,
single shot detector,
superposition,
tensorflow,
13
Nov
#AIByte by CellStrat – Object Detection with Mask R-CNN
Region CNNs (RCNNs) and their variations such as Fast RCNN, Faster RCNN and Mask RCNNs are state-of-the-art algorithms for Object Detection in images. RCNNs detect 2000 region proposals using Selective Search, compute CNN features on each Region, and then classify each region as certain objects or not. The final layer also does bounding box regression […]