Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
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Updated
Jan 31, 2020 - Python
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
PyTorch pipeline of MIT Driverless Computer Vision paper(2020)
Rotation & scale invariant template matching
This repository is containing an object classification & localization project for SINGLE object.
Our Solution of the Flipkart Grid Challenge
Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
Code for Look for the Change paper published at CVPR 2022
Code for the paper "Multi-Task Learning of Object States and State-Modifying Actions from Web Videos" published in TPAMI
Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.
Camera Pose Estimation using DELF
Use your classification neural network for object detection and localization
localizing objects in images
This is the term project for the Image Analysis course in Bilkent University. This project aims to develop a method for image classification and object localization.
Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"
Deep Reinforcement learning based tumour localisation
Flipkart GRiD – Te[a]ch The Machines | 2019 Competition
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language with Graph, Attention and BRNet
A versatile Methodology or pipeline for object-localization in microscopy images using Template Matching
Defect Detection and Elliptical Object Localization with DenseNet-169 on subset of DAGM 2007 Defect Dataset
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