Papers with Code · CC BY-SA 4.0

MSVD-QA

아카이브 평가 36건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
VLAB	Accuracy 0.61	VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending 2023-05-22	연결 없음
MA-LMM	Accuracy 0.606	MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding 2024-04-08	코드 1
MaMMUT (ours)	Accuracy .602	MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks 2023-03-29	코드 1
VALOR	Accuracy 0.60	VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset 2023-04-17	코드 1
VAST	Accuracy 0.60	VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset 2023-05-29	코드 1 · 코드 2
COSA	Accuracy 0.60	COSA: Concatenated Sample Pretrained Vision-Language Foundation Model 2023-06-15	코드 1
mPLUG-2	Accuracy 0.581	mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video 2023-02-01	코드 1 · 코드 2 · 코드 3 · 코드 4
VideoCoCa	Accuracy 0.569	VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners 2022-12-09	연결 없음
GIT	Accuracy 0.568	GIT: A Generative Image-to-text Transformer for Vision and Language 2022-05-27	코드 1
FrozenBiLM+	Accuracy 0.558	Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models 2023-08-18	코드 1
HiTeA	Accuracy 0.556	HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training 2022-12-30	연결 없음
InternVideo	Accuracy 0.555	InternVideo: General Video Foundation Models via Generative and Discriminative Learning 2022-12-06	코드 1 · 코드 2
UMT-L (ViT-L/16)	Accuracy 0.552	Unmasked Teacher: Towards Training-Efficient Video Foundation Models 2023-03-28	코드 1
vid-TLDR (UMT-L)	Accuracy 0.549	vid-TLDR: Training Free Token merging for Light-weight Video Transformer 2024-03-20	코드 1
VIOLETv2	Accuracy 0.547	An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling 2022-09-04	코드 1
MuLTI	Accuracy 0.547	MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling 2023-03-10	연결 없음
X2-VLM (large)	Accuracy 0.546	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks 2022-11-22	코드 1 · 코드 2
X2-VLM (base)	Accuracy 0.528	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks 2022-11-22	코드 1 · 코드 2
Clover	Accuracy 0.524	Clover: Towards A Unified Video-Language Alignment and Fusion Model 2022-07-16	코드 1
VIOLET + MELTR	Accuracy 0.517	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models 2023-03-23	코드 1
OmniVL	Accuracy 0.510	OmniVL:One Foundation Model for Image-Language and Video-Language Tasks 2022-09-15	연결 없음
VIOLET+	Accuracy 0.495	Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models 2023-08-18	코드 1
Co-Tokenization	Accuracy .486	Video Question Answering with Iterative Video-Text Co-Tokenization 2022-08-01	연결 없음
All-in-one-B	Accuracy 0.483	All in One: Exploring Unified Video-Language Pre-training 2022-03-14	코드 1
LRCE	Accuracy 0.478	Lightweight Recurrent Cross-modal Encoder for Video Question Answering 2023-06-30	코드 1
JustAsk+	Accuracy 0.477	Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models 2023-08-18	코드 1
GIT+MDF	Accuracy 0.469	Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models 2023-07-09	코드 1 · 코드 2
AIO+MIF	Accuracy 0.467	Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models 2023-07-09	코드 1 · 코드 2
ALPRO	Accuracy 0.459	Align and Prompt: Video-and-Language Pre-training with Entity Prompts 2021-12-17	코드 1
All-in-one+	Accuracy 0.438	Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models 2023-08-18	코드 1