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HyperAI超神経

Zero Shot Composed Image Retrieval Zs Cir On

評価指標

mAP@10

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
mAP@10
Paper TitleRepository
iSEARLE-OTI (CLIP B/32)10.94iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
SEIZE (CLIP G/14 & GPT-4o)37.23Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval
iSEARLE (CLIP B/32)11.24iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
MagicLens (CLIP B)23.8MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
CompoDiff (CLIP G/14)17.71CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Context-I2W14.62Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
LDRE (CLIP L/14)24.03LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval
LinCIR (CLIP G/14)21.01Language-only Efficient Training of Zero-shot Composed Image Retrieval
CoLLM (Pretrained - BLIP-L/16)20.4--
CIReVL (CLIP B/32)15.42Vision-by-Language for Training-Free Compositional Image Retrieval
Pic2Word9.51Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
CoVR-BLIP-229.55CoVR-2: Automatic Data Construction for Composed Video Retrieval
OSrCIR (CLIP L/14)25.33Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
MTCIR (BLIP B/16)8.03Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval-
SEIZE (CLIP L/14)25.82Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval
MTCIR (CLIP L/14)11.63Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval-
MagicLens (CoCa B)32.0MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
OSrCIR (CLIP G/14)31.14Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
MMRet-Base (CLIP B/16)35.0MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
PALAVRA5.32"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
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