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Search results for python cross modal retrieval

27 search results found

Xmodaler ⭐ 929

X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).

The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)

Vse_infty ⭐ 110

Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

[CVPR 2023 Highlight] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Diffusionret ⭐ 50

[ICCV 2023] DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Eccv Caption ⭐ 46

Extended COCO Validation (ECCV) Caption dataset (ECCV 2022)

Official implementation of "Contrastive Audio-Language Learning for Music" (ISMIR 2022)

Bagformer ⭐ 41

PyTorch code for BagFormer: Better Cross-Modal Retrieval via bag-wise interaction

On The Fly Fgsbir ⭐ 30

[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. .

Unsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)

Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)

Textreid ⭐ 20

[BMVC 2021] Text-Based Person Search with Limited Data

Swan Pytorch ⭐ 19

Reducing Semantic Confusion: Scene-aware Aggregation Network for Remote Sensing Cross-modal Retrieval (ICMR'23 Oral)

Semanticlocalizationmetrics ⭐ 19

The first research for semantic localization

Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".

Text2pos Cvpr2022 ⭐ 17

Code, dataset and models for our CVPR 2022 publication "Text2Pos"

PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval".

Official implementation of the paper "ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval"

The code of “Plug-and-Play Regulators for Image-Text Matching” [TIP2023]

A multi-task model which does image captioning, sentence paraphrasing and cross-modal retrieval.

[IJCAI 2023] Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Objects That Sound ⭐ 8

Implementation of "Objects that Sound" from ECCV 2018.

PyTorch code for the paper "Complementarity is the king: A multi-modal and multi-grained hierarchical semantic enhancement network for cross-modal retrieval"

An implement of our paper “DEEP ADVERSARIAL QUANTIZATION NETWORK FOR CROSS-MODAL RETRIEVAL”

This repository contains the author's implementation in PyTorch for the paper "Adaptive Label-aware Graph Convolutional Networks for Cross-Modal Retrieval".

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