Search Results for author:
Found 7 papers, 2 papers with code
Zero-Shot Sketch Based Image Retrieval using Graph Transformer
To bridge the domain gap between the visual features, we propose minimizing the Wasserstein distance between images and sketches in a learned domain-shared space.
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
The efficacy of zero-shot sketch-based image retrieval (ZS-SBIR) models is governed by two challenges.
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
While we define a cross-modal triplet loss to ensure the discriminative nature of the shared space, an innovative cross-modal attention learning strategy is also proposed to guide feature extraction from the image domain exploiting information from the respective sketch counterpart.
GuCNet: A Guided Clustering-based Network for Improved Classification
We deal with the problem of semantic classification of challenging and highly-cluttered dataset.
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
We perform a thorough bench-marking of this dataset and demonstrate that the proposed network outperforms other state-of-the-art methods for zero-shot sketch-based retrieval framework in remote sensing.
Efficient Retrieval of Logos Using Rough Set Reducts
Searching for similar logos in the registered logo database is a very important and tedious task at the trademark office.
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing
In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech based label annotations.
