detection network based on convolutional neural network
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Updated
Jul 16, 2018 - Python
detection network based on convolutional neural network
Vatic for detectNet annotation
A Soccer Ball Detector using Fully Convolutional Neural Networks and ConvLSTM
Neural Network that learns to identify cats and dogs from normal images.
TIPE MPSI/MP* 2018-2020
Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya
API for transforming general detection to customized detection in Pytorch.
Overrepresentation analysis for KEGG and PID pathways using community detection
Scaling Object Detection by Transferring Classification Weights
ssdetection is a general framework for our research on strongly supervised object detection.
Optic disc detection in a retina image using a fully connected convolutional neural network.
YOLOv2 Implementation in TF/Keras. Allowing to experiment on different feature detectors (MobileNet, Darknet-19). Paper: https://arxiv.org/abs/1612.08242
Single Shot MultiBox Detector implemented with TensorFlow
Open solution to the Google AI Object Detection Challenge 🍁
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
A simple Spatial Pyramid Pooling layer which could be added in CNN
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