Papers with Code 아카이브
Image-text Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Multimodal Quantum Natural Language Processing: A Novel Framework for using Quantum Methods to Analyse Real Data
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
Robust Latent Representation Tuning for Image-text Classification
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
GIST: Generating Image-Specific Text for Fine-grained Object Classification
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
GLAMI-1M: A Multilingual Image-Text Fashion Dataset
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.