Papers with Code · CC BY-SA 4.0

MSVD-QA

아카이브 평가 27건 · 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
Tarsier (34B)	Accuracy 80.3 Confidence Score 4.2	Tarsier: Recipes for Training and Evaluating Large Video Description Models 2024-06-30	코드 1
Flash-VStream	Accuracy 80.3 Confidence Score 3.9	Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams 2024-06-12	코드 1
LinVT-Qwen2-VL (7B)	Accuracy 80.2 Confidence Score 4.4	LinVT: Empower Your Image-level Large Language Model to Understand Videos 2024-12-06	코드 1
VILA1.5-40B	Accuracy 80.1	VILA: On Pre-training for Visual Language Models 2023-12-12	코드 1 · 코드 2 · 코드 3
PLLaVA (34B)	Accuracy 79.9 Confidence Score 4.2	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning 2024-04-25	코드 1
SlowFast-LLaVA-34B	Accuracy 79.9 Confidence Score 4.1	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models 2024-07-22	코드 1
IG-VLM-34B	Accuracy 79.6 Confidence Score 4.1	An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM 2024-03-27	코드 1
TS-LLaVA-34B	Accuracy 79.4 Confidence Score 4.1	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models 2024-11-17	코드 1
PPLLaVA-7B	Accuracy 77.1 Confidence Score 4.0	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance 2024-11-04	코드 1
Elysium	Accuracy 75.8 Confidence Score 3.7	Elysium: Exploring Object-level Perception in Videos via MLLM 2024-03-25	코드 1
MovieChat	Accuracy 75.2 Confidence Score 2.9	MovieChat: From Dense Token to Sparse Memory for Long Video Understanding 2023-07-31	코드 1
ST-LLM	Accuracy 74.6 Confidence Score 3.9	ST-LLM: Large Language Models Are Effective Temporal Learners 2024-03-30	코드 1
MiniGPT4-video-7B	Accuracy 73.92	MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens 2024-04-04	코드 1 · 코드 2
Video-LaVIT	Accuracy 73.2 Confidence Score 3.9	Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization 2024-02-05	코드 1
VideoGPT+	Accuracy 72.4 Confidence Score 3.6	VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding 2024-06-13	코드 1
LLaVA-Mini	Accuracy 70.9 Confidence Score 4.0	LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token 2025-01-07	코드 1
Video-LLaVA-7B	Accuracy 70.7 Confidence Score 3.9	Video-LLaVA: Learning United Visual Representation by Alignment Before Projection 2023-11-16	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
VideoChat2	Accuracy 70.0 Confidence Score 3.9	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark 2023-11-28	코드 1 · 코드 2 · 코드 3
LLaMA-VID-13B (2 Token)	Accuracy 70.0 Confidence Score 3.7	LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28	코드 1 · 코드 2
LLaMA-VID-7B (2 Token)	Accuracy 69.7 Confidence Score 3.7	LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28	코드 1 · 코드 2
Chat-UniVi-7B	Accuracy 69.3 Confidence Score 3.7	Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding 2023-11-14	코드 1 · 코드 2 · 코드 3 · 코드 4
BT-Adapter (zero-shot)	Accuracy 67.0 Confidence Score 3.6	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning 2023-09-27	코드 1
Video-ChatGPT-7B	Accuracy 64.9 Confidence Score 3.3	Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models 2023-06-08	코드 1 · 코드 2
Video Chat-7B	Accuracy 56.3 Confidence Score 2.8	VideoChat: Chat-Centric Video Understanding 2023-05-10	코드 1
LLaMA Adapter-7B	Accuracy 54.9 Confidence Score 3.1	LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model 2023-04-28	코드 1 · 코드 2 · 코드 3
Video LLaMA-7B	Accuracy 51.6 Confidence Score 2.5	Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding 2023-06-05	코드 1 · 코드 2 · 코드 3 · 코드 4
FrozenBiLM	Accuracy 33.8	Zero-Shot Video Question Answering via Frozen Bidirectional Language Models 2022-06-16	코드 1 · 코드 2 · 코드 3