Video Question Answering On Activitynet Qa

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
GPT-2 + CLIP-14 + CLIP-multilingual (Zero-Shot)61.2Composing Ensembles of Pre-trained Models via Iterative Consensus-
GPT-2 + CLIP-32 (Zero-Shot)58.4Composing Ensembles of Pre-trained Models via Iterative Consensus-
VideoCoCa56.1VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners-
Mirasol3B51.13Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities-
VAST50.4VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
COSA49.9COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
MA-LMM49.8MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
VideoChat249.1MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
VALOR48.6VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
UMT-L (ViT-L/16)47.9Unmasked Teacher: Towards Training-Efficient Video Foundation Models
LLaMA-VID-13B (2 Token)47.5LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
LLaMA-VID-7B (2 Token)47.4LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
Chat-UniVi-13B46.4Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
BT-Adapter (zero-shot)46.1BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
MovieChat45.7MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Video-LLaVA45.3Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
TESTA (ViT-B/16)45TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
FrozenBiLM+44.8Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
VindLU44.7VindLU: A Recipe for Effective Video-and-Language Pretraining
Singularity-temporal44.1Revealing Single Frame Bias for Video-and-Language Learning
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Video Question Answering On Activitynet Qa | SOTA | HyperAI超神经