Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
- Updated
Jan 31, 2020 - Python
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
Rotation & scale invariant template matching
PyTorch pipeline of MIT Driverless Computer Vision paper(2020)
ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
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
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.
Our Solution of the Flipkart Grid Challenge
This repository is containing an object classification & localization project for SINGLE object.
Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.
Use your classification neural network for object detection and localization
Code for the paper "Multi-Task Learning of Object States and State-Modifying Actions from Web Videos" published in TPAMI
FLS point cloud registration (ISRR 2022)
Active object localization framework incorporating the bio-plausible mechanisms of foveation and saccades for improved and resilient weakly supervised object localization
Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"
A versatile Methodology or pipeline for object-localization in microscopy images using Template Matching
Deep Reinforcement learning based tumour localisation
localizing objects in images
Defect Detection and Elliptical Object Localization with DenseNet-169 on subset of DAGM 2007 Defect Dataset
Camera Pose Estimation using DELF
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