Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".
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Updated
Sep 4, 2019 - Python
Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".
Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)
Deep Supervised Cross-modal Retrieval (CVPR 2019, PyTorch Code)
A multi-task model which does image captioning, sentence paraphrasing and cross-modal retrieval.
Fachpraktikum project for Human-computer interaction course
My master thesis: Siamese multi-hop attention for cross-modal retrieval.
PyTorch code for cross-modal-retrieval on Flickr8k/30k using Bert and EfficientNet
Multimodal Adversarial Network for Cross-modal Retrieval (PyTorch Code)
PyTorch implementation for Self-supervised Modal and View Invariant Feature Learning
Scalable deep multimodal learning for cross-modal retrieval (SIGIR 2019, PyTorch Code)
Tensorflow implementation of UDIH
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval [ECCV 2020]
Image-Text Matching Model Zoo
[CVPR 2020, Oral] "Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. .
Flask Web App for ES-654 Machine Learning course project
An implement of our paper “DEEP ADVERSARIAL QUANTIZATION NETWORK FOR CROSS-MODAL RETRIEVAL”
In this work, we implement different cross-modal learning schemes such as Siamese Network, Correlational Network and Deep Cross-Modal Projection Learning model and study their performance. We also propose a modified Deep Cross-Modal Projection Learning model that uses a different image feature extractor. We evaluate the model’s performance on im…
Code for the paper "Sentiment-Oriented Metric Learning for Text-to-Image Retrieval", ECIR'21
An intentionally simple Image to Food cross-modal search. Created by Prithiviraj Damodaran.
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