SOTAVerified

Image-text Retrieval

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 248 papers

TitleStatusHype
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval—0
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models—0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
Anatomy-Aware Conditional Image-Text Retrieval—0
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features—0
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions—0
MASS: Overcoming Language Bias in Image-Text Matching—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
VladVA: Discriminative Fine-tuning of LVLMs—0
Show:102550
← PrevPage 5 of 10Next →

No leaderboard results yet.