HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Zeroshot Video Question Answer
Zero Shot Video Question Answer On Egoschema
Zero Shot Video Question Answer On Egoschema
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Accuracy
Paper Title
Repository
VideoChat2_HD_mistral
65.6
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
MVU (13B)
60.3
Understanding Long Videos with Multimodal Language Models
Random
20.0
-
-
LangRepo (12B)
66.2
Language Repository for Long Video Understanding
LLoVi (7B)
50.8
A Simple LLM Framework for Long-Range Video Question-Answering
SlowFast-LLaVA-34B
47.2
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
LLoVi (GPT-3.5)
57.6
A Simple LLM Framework for Long-Range Video Question-Answering
Tarsier (34B)
68.6
Tarsier: Recipes for Training and Evaluating Large Video Description Models
SeViLA (4B)
25.7
Self-Chained Image-Language Model for Video Localization and Question Answering
LVNet
66.0
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
TS-LLaVA-34B
57.8
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
VideoTree (GPT4)
66.2
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
VideoChat2_mistral
63.6
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
0 of 13 row(s) selected.
Previous
Next