Cover Image

Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Siting, Gao, Xiang, Du, Simon Shaolei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
by: Li, Siting, et al.
Published: (2024)

Embedding Geometries of Contrastive Language-Image Pre-Training
by: Chou, Jason Chuan-Chih, et al.
Published: (2024)

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models
by: Lei, Jiayi, et al.
Published: (2025)

BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
by: Miranda, Imanol, et al.
Published: (2024)

Attribute Diversity Determines the Systematicity Gap in VQA
by: Berlot-Attwell, Ian, et al.
Published: (2023)

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation
by: Wu, Ning, et al.
Published: (2026)

MAGIC: Near-Optimal Data Attribution for Deep Learning
by: Ilyas, Andrew, et al.
Published: (2025)

VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
by: Ratzlaff, Neale, et al.
Published: (2024)

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP
by: Abbasi, Reza, et al.
Published: (2024)

MOFI: Learning Image Representations from Noisy Entity Annotated Images
by: Wu, Wentao, et al.
Published: (2023)

Training-Free Generation of Diverse and High-Fidelity Images via Prompt Semantic Space Optimization
by: Meng, Debin, et al.
Published: (2025)

What Shape Is Optimal for Masks in Text Removal?
by: Nakada, Hyakka, et al.
Published: (2025)

Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning
by: Margaritis, Georgios, et al.
Published: (2025)

Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
by: Kim, Eunji, et al.
Published: (2024)

Including Facial Expressions in Contextual Embeddings for Sign Language Generation
by: Viegas, Carla, et al.
Published: (2022)

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
by: Du, Yao, et al.
Published: (2026)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
by: Xue, Yihao, et al.
Published: (2023)

Reverse Stable Diffusion: What prompt was used to generate this image?
by: Croitoru, Florinel-Alin, et al.
Published: (2023)

Hidden in Plain Sight -- Class Competition Focuses Attribution Maps
by: Walter, Nils Philipp, et al.
Published: (2025)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
by: Jung, Hoin, et al.
Published: (2026)

Teach CLIP to Develop a Number Sense for Ordinal Regression
by: Du, Yao, et al.
Published: (2024)

CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation
by: Yayavaram, Arnav, et al.
Published: (2025)

Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
by: Jin, Pengfei, et al.
Published: (2024)

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning
by: Piergiovanni, AJ, et al.
Published: (2024)

RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction
by: Park, Jonggwon, et al.
Published: (2025)

MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
by: Lin, Sheng-Chieh, et al.
Published: (2024)

Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
by: Tang, Minxue, et al.
Published: (2026)

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation
by: Li, Hao, et al.
Published: (2024)

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
by: Zhang, Letian, et al.
Published: (2023)

CRAFT: Cultural Russian-Oriented Dataset Adaptation for Focused Text-to-Image Generation
by: Vasilev, Viacheslav, et al.
Published: (2025)

Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
by: Schall, Konstantin, et al.
Published: (2024)

Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
by: Zhu, Mengdan, et al.
Published: (2025)

ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
by: Kim, Taewhan, et al.
Published: (2024)

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
by: Qu, Leigang, et al.
Published: (2024)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
by: Chen, Zhaorun, et al.
Published: (2024)

IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
by: Lee, Soeun, et al.
Published: (2024)

Path Choice Matters for Clear Attribution in Path Methods
by: Zhang, Borui, et al.
Published: (2024)

ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2025)