Search Results for author:
Found 6 papers, 4 papers with code
Deep Metric Learning for Computer Vision: A Brief Overview
Objective functions that optimize deep neural networks play a vital role in creating an enhanced feature representation of the input data.
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
Face feature aggregation, which involves aggregating a set of N feature representations present in a template into a single global representation, plays a pivotal role in such recognition systems.
RidgeBase: A Cross-Sensor Multi-Finger Contactless Fingerprint Dataset
Contactless fingerprint matching using smartphone cameras can alleviate major challenges of traditional fingerprint systems including hygienic acquisition, portability and presentation attacks.
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal Embeddings
Cross-modal retrieval is a fundamental vision-language task with a broad range of practical applications.
Ranked #1 on
Cross-Modal Retrieval
on MSCOCO-1k
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
Existing work in this area focuses on creating attention maps to capture the correlation between the two modalities to localize the source of the sound.
Moving in the Right Direction: A Regularization for Deep Metric Learning
Deep metric learning leverages carefully designed sampling strategies and loss functions that aid in optimizing the generation of a discriminable embedding space.
