https://github.com/jnzs1836/era-vsum
공식 코드ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
Papers with Code 아카이브
Video Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 18
Video Summarization aims to generate a short synopsis that summarizes the video content by selecting its most informative and important parts. The produced summary is usually composed of a set of representative video frames (a.k.a. video key-frames), or video fragments (a.k.a. video key-fragments) that have been stitched in chronological order to form a shorter video. The former type of a video summary is known as video storyboard, and the latter type is known as video skim.
Source: Video Summarization Using Deep Neural Networks: A Survey <br> <span style="color:grey; opacity: 0.6">Image credit: iJRASET</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jnzs1836/intent-vizor
공식 코드IntentVizor: Towards Generic Query Guided Interactive Video Summarization
https://github.com/jssprz/video_captioning_datasets
공식 코드https://github.com/jylins/videoxum
공식 코드VideoXum: Cross-modal Visual and Textural Summarization of Videos
https://github.com/keitokudo/multi-vidsum
공식 코드https://github.com/kezhang-cs/Video-Summarization-with-LSTM
공식 코드https://github.com/luiscarlosgph/videosum
공식 코드https://github.com/meiyutingg/ubiss
공식 코드UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos
https://github.com/ok1zjf/VASNet
공식 코드https://github.com/opengvlab/vinci
공식 코드An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
https://github.com/pangzss/pytorch-ctvsum
공식 코드Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
https://github.com/ppapalampidi/GraphTP
공식 코드https://github.com/rpm1412/lus_video_summarization
공식 코드https://github.com/showlab/egovlp
공식 코드https://github.com/showlab/univtg
공식 코드https://github.com/shruti-jadon/Video-Summarization-using-Keyframe-Extraction-and-Video-Skimming
공식 코드Unsupervised video summarization framework using keyframe extraction and video skimming
https://github.com/shuyueL/FFNet
공식 코드https://github.com/skyline-9/visionary-vids
공식 코드Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
https://github.com/thswodnjs3/CSTA
공식 코드CSTA: CNN-based Spatiotemporal Attention for Video Summarization
https://github.com/tk-21st/devan
공식 코드https://github.com/vectorspacelab/video-xl
공식 코드Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
https://github.com/wujiangxu/mhscnet
공식 코드MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization
https://github.com/yeliudev/R2-Tuning
공식 코드R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
https://github.com/yongliang-wu/repurpose
공식 코드Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
https://github.com/yueatsprograms/ttt_cifar_release
공식 코드Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
https://github.com/yueatsprograms/ttt_imagenet_release
공식 코드Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/gpt2
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/gpt2
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
https://github.com/590shun/summarizer
https://github.com/590shun/video_summarize_dsf
https://github.com/590shun/vsum_dsf
https://github.com/HoganZhang/pytorch-vsumm-reinforce
https://github.com/KaiyangZhou/pytorch-vsumm-reinforce
https://github.com/LADI-Dataset/ladi-overview
https://github.com/Lorna-Liu/ultrasound_vsumm_RL
Ultrasound Video Summarization using Deep Reinforcement Learning
https://github.com/Pratik08/vis-dss
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.