HyperAI
HyperAI
الرئيسية
المنصة
الوثائق
الأخبار
الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
شروط الخدمة
سياسة الخصوصية
العربية
HyperAI
HyperAI
Toggle Sidebar
البحث في الموقع...
⌘
K
Command Palette
Search for a command to run...
المنصة
الرئيسية
SOTA
استرجاع الصور
Image Retrieval On Cirr
Image Retrieval On Cirr
المقاييس
(Recall@5+Recall_subset@1)/2
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
(Recall@5+Recall_subset@1)/2
Paper Title
SPN4CIR
82.69
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
SPN4CIR (SPRC)
82.69
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
SPRC2
82.66
Sentence-level Prompts Benefit Composed Image Retrieval
SPRC
81.39
Sentence-level Prompts Benefit Composed Image Retrieval
Candidate Set Re-ranking
80.9
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
CaLa
78.74
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
CASE (Pre-trained on LaSCo.Ca)
78.25
Data Roaming and Quality Assessment for Composed Image Retrieval
CASE
77.5
Data Roaming and Quality Assessment for Composed Image Retrieval
VISTA (base)
75.9
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
TG-CIR (Wen et al., 2023)
75.6
Target-Guided Composed Image Retrieval
CLIP4Cir (v3)
75.10
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
BLIP4CIR+Bi
72.59
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
CLIP4Cir (v2)
69.09
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features
CLIP4Cir
63.87
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
CIRPLANT
45.88
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
ARTEMIS
43.05
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
MMRet-MLLM
-
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
0 of 17 row(s) selected.
Previous
Next
Image Retrieval On Cirr | SOTA | HyperAI