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Image Retrieval On Flickr30K 1K Test

Metrics

R@1

R@10

R@5

Results

Performance results of various models on this benchmark

				Paper Title	Repository
X-VLM (base)	86.9	98.7	97.3	Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
RCAR	62.6	91.1	85.8	Plug-and-Play Regulators for Image-Text Matching
SGRAF	58.5	88.8	83.0	Similarity Reasoning and Filtration for Image-Text Matching
VisualSparta	57.4	88.1	82.0	VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words
LGSGM	57.4	90.2	84.1	A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
TERAN MrSw	56.5	88.2	81.2	Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
TERAN Symm.	55.7	89.3	83.1	Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
VSRN	54.7	88.2	81.8	Visual Semantic Reasoning for Image-Text Matching
CAMP	51.5	85.3	77.1	CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
SCAN i-t	44.0	82.6	74.2	Stacked Cross Attention for Image-Text Matching
SCO	41.1	80.1	70.5	Learning Semantic Concepts and Order for Image and Sentence Matching	-
DAN	39.4	79.1	69.2	Dual Attention Networks for Multimodal Reasoning and Matching
2WayNet (VGG)	36.0	-	-	Linking Image and Text with 2-Way Nets
SM-LSTM (VGG)	30.2	72.3	-	Instance-aware Image and Sentence Matching with Selective Multimodal LSTM	-
SPE	29.7	72.1	60.1	Learning Deep Structure-Preserving Image-Text Embeddings	-
mCNN	26.2	69.6	56.3	Multimodal Convolutional Neural Networks for Matching Image and Sentence
HGLMM FV	24.7	66.8	53.4	Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
DVSA (R-CNN, AlexNet)	15.2	50.5	-	Deep Visual-Semantic Alignments for Generating Image Descriptions

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Image Retrieval On Flickr30K 1K Test | SOTA | HyperAI