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SOTA
Image Retrieval
Image Retrieval On Fashion Iq
Image Retrieval On Fashion Iq
Metrics
(Recall@10+Recall@50)/2
Recall@10
Results
Performance results of various models on this benchmark
Columns
Model Name
(Recall@10+Recall@50)/2
Recall@10
Paper Title
SPN4CIR (SPRC)
66.41
56.37
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
SPN4CIR
66.41
-
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
SPRC
64.85
54.92
Sentence-level Prompts Benefit Composed Image Retrieval
Candidate Set Re-ranking
62.15
51.17
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
RUTIR (BLIP B/16)
61.32
-
Ranking-aware Uncertainty for Text-guided Image Retrieval
CASE
59.73
48.79
Data Roaming and Quality Assessment for Composed Image Retrieval
CaLa
57.96
46.69
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
BLIP4CIR+Bi
55.4
-
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
CLIP4Cir (v3)
55.36
-
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
RUTIR (CLIP ResNet50)
55.27
-
Ranking-aware Uncertainty for Text-guided Image Retrieval
Css-Net
51.34
-
Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations
MUR (4*ResNet50)
50.61
-
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
CLIP4Cir (v2)
50.03
-
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features
MUR
47.28
-
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
CLIP4Cir
47.21
-
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
MMRet-MLLM
46.1
35.6
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
RTIC-GCN
40.64
-
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
CoSMo
39.45
-
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback
CurlingNet
38.45
-
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
VAL w/ GloVe
35.38
-
Image Search With Text Feedback by Visiolinguistic Attention Learning
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Image Retrieval On Fashion Iq | SOTA | HyperAI