HyperAI超神经

首页资讯最新论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Image Retrieval On Cirr

评估指标

(Recall@5+Recall_subset@1)/2

评测结果

各个模型在此基准测试上的表现结果

模型名称	(Recall@5+Recall_subset@1)/2	Paper Title	Repository
TG-CIR (Wen et al., 2023)	75.6	Target-Guided Composed Image Retrieval	-
SPRC2	82.66	Sentence-level Prompts Benefit Composed Image Retrieval
SPN4CIR	82.69	Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
MMRet-MLLM	-	MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
CASE (Pre-trained on LaSCo.Ca)	78.25	Data Roaming and Quality Assessment for Composed Image Retrieval
SPRC	81.39	Sentence-level Prompts Benefit Composed Image Retrieval
CLIP4Cir (v2)	69.09	Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features
CaLa	78.74	CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
CASE	77.5	Data Roaming and Quality Assessment for Composed Image Retrieval
CLIP4Cir (v3)	75.10	Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
CLIP4Cir	63.87	Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
BLIP4CIR+Bi	72.59	Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Candidate Set Re-ranking	80.9	Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder	-
VISTA (base)	75.9	VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
CIRPLANT	45.88	Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
SPN4CIR (SPRC)	82.69	Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
ARTEMIS	43.05	ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity

0 of 17 row(s) selected.