VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition (ECCV 2024)
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Updated
Oct 18, 2024 - Python
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition (ECCV 2024)
Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
Contains our Approach for the competition organized at Udyam'21
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
A simple, customizable, and reusable Add to Calendar button component for React
Acoustic Communication Underwater Mimicking Sea Classification by Multiscale Deep Features Aggregation and Low Complexity, and Data Augmentation.
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