Image-text Classification
6 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Image-text Classification
FewSOL
Most implemented papers
Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud
dixiyao/Context-Aware-Compilation-of-DNN-Training-Pipelines-across-Edge-and-Cloud
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021
Experimental results show that our system not only adapts well to, but also draws on the varying contexts, delivering a practical and efficient solution to edge-cloud model training.
GLAMI-1M: A Multilingual Image-Text Fashion Dataset
We introduce GLAMI-1M: the largest multilingual image-text classification dataset and benchmark.
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Real-world data generation often involves complex inter-dependencies among instances, violating the IID-data hypothesis of standard learning paradigms and posing a challenge for uncovering the geometric structures for learning desired instance representations.
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
zhjohnchan/ptunifier
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ICCV 2023
Medical vision-and-language pre-training (Med-VLP) has shown promising improvements on many downstream medical tasks owing to its applicability to extracting generic representations from medical images and texts.
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
Multimodal learning aims to imitate human beings to acquire complementary information from multiple modalities for various downstream tasks.
GIST: Generating Image-Specific Text for Fine-grained Object Classification
emu1729/gist
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We demonstrate the utility of GIST by fine-tuning vision-language models on the image-and-generated-text pairs to learn an aligned vision-language representation space for improved classification.
