OSCAR: Optimization-Steered Agentic Planning for Composed Image Retrieval
cs.AI
Submitted: 2026-02-09
Updated: 2026-08-26
Terminology
Sources
- GPT-4 Technical Report
- iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- Cardinal Optimizer (COPT) User Guide
- RzenEmbed: Towards Comprehensive Multimodal Retrieval
- VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
- Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
- VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
- Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
- A Comprehensive Survey on Composed Image Retrieval
- Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
- Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
- Qwen3 Technical Report
- XR: Cross-Modal Agents for Composed Image Retrieval
- MiniCPM-V: A GPT-4V Level MLLM on Your Phone
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