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
تقييم جودة الفيديو
Video Quality Assessment On Youtube Ugc
Video Quality Assessment On Youtube Ugc
المقاييس
PLCC
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
PLCC
Paper Title
DOVER (end-to-end)
0.874
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
ReLaX-VQA (finetuned on YouTube-UGC)
0.8652
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
DOVER (head-only)
0.862
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
FasterVQA (fine-tuned)
0.859
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
SimpleVQA
0.856
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
FAST-VQA (finetuned on YouTube-UGC)
0.852
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
HVS-5M
0.8451
HVS Revisited: A Comprehensive Video Quality Assessment Framework
ReLaX-VQA (trained on LSVQ only)
0.8354
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
CONVIQT
0.822
CONVIQT: Contrastive Video Quality Estimator
ReLaX-VQA
0.8204
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
BVQA-2022
0.8178
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
CONTRIQUE
0.813
Image Quality Assessment using Contrastive Learning
2BiVQA
0.794
2BiVQA: Double Bi-LSTM based Video Quality Assessment of UGC Videos
VIDEVAL
0.7733
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
RAPIQUE
0.7684
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
FAST-VQA (trained on LSVQ only)
0.748
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling
ChipQA
0.6911
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
0 of 17 row(s) selected.
Previous
Next
Video Quality Assessment On Youtube Ugc | SOTA | HyperAI