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