https://github.com/sts-vlcc/sts-vlcc
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Papers with Code 아카이브
Zero-Shot Video Question Answer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 17
- 보존된 평가 기록
- 239
This task present the results of Zeroshot Question Answer results on TGIF-QA dataset for LLM powered Video Conversational Models.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tanveer81/rgnet
https://github.com/tutujingyugang1/ChatVLA_public
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models
https://github.com/wuyuejinxia/prcv2019-mvb-renet
MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks
https://github.com/wxh1996/VideoAgent
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
https://github.com/xinding-sys/StreamMind
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
https://github.com/yangyucheng000/University/tree/main/model-3/qwen2_vl
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/yingsen1/unimd
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.