Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
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Updated
May 2, 2024 - Python
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
A simple Spatial Pyramid Pooling layer which could be added in CNN
A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.
YOLOv2 Implementation in TF/Keras. Allowing to experiment on different feature detectors (MobileNet, Darknet-19). Paper: https://arxiv.org/abs/1612.08242
Open solution to the Google AI Object Detection Challenge 🍁
ssdetection is a general framework for our research on strongly supervised object detection.
Scaling Object Detection by Transferring Classification Weights
Single Shot MultiBox Detector implemented with TensorFlow
Optic disc detection in a retina image using a fully connected convolutional neural network.
A Soccer Ball Detector using Fully Convolutional Neural Networks and ConvLSTM
Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya
Overrepresentation analysis for KEGG and PID pathways using community detection
detection network based on convolutional neural network
Vatic for detectNet annotation
API for transforming general detection to customized detection in Pytorch.
Neural Network that learns to identify cats and dogs from normal images.
TIPE MPSI/MP* 2018-2020
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