Preserve-and-Compose Training for Composed Image Retrieval

arXiv:2609.31202 · cs.CV · Submitted 2026-09-25 · Read on arXiv

cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/miccunifi/SEARLE

Terminology

• Benchmark — 25× in this paper · explained in 2 episodes
• Embeddings — 14× in this paper · explained in 2 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• FlowCIR: Semantic Transport via Flow Matching for Zero-Shot Composed Image Retrieval
• MovieNet: A Holistic Dataset for Movie Understanding
• Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval
• Vision-by-Language for Training-Free Compositional Image Retrieval
• Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
• Qwen3 Technical Report
• Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
• LAION-5B: An open large-scale dataset for training next generation image-text models
• Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
• Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval
• GeneCIS: A Benchmark for General Conditional Image Similarity
• Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
• Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval

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