Papers with Code 아카이브

Supervised Video Summarization

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 2
보존된 평가 기록: 42

Supervised video summarization rely on datasets with human-labeled ground-truth annotations (either in the form of video summaries, as in the case of the SumMe dataset, or in the form of frame-level importance scores, as in the case of the TVSum dataset), based on which they try to discover the underlying criterion for video frame/fragment selection and video summarization.

Source: Video Summarization Using Deep Neural Networks: A Survey

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/HopLee6/SSPVS-PyTorch

공식 코드

Progressive Video Summarization via Multimodal Self-supervised Learning

https://github.com/HopLee6/VJMHT-PyTorch

공식 코드

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization

https://github.com/KaiyangZhou/vsumm-reinforce

공식 코드

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/TIBHannover/MSVA

공식 코드

Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

https://github.com/boheumd/A2Summ

공식 코드

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

https://github.com/thswodnjs3/CSTA

공식 코드

CSTA: CNN-based Spatiotemporal Attention for Video Summarization

https://github.com/yueatsprograms/ttt_cifar_release

공식 코드

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

https://github.com/yueatsprograms/ttt_imagenet_release

공식 코드

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

https://github.com/HoganZhang/pytorch-vsumm-reinforce

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/KaiyangZhou/pytorch-vsumm-reinforce

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/StevRamos/video_summarization

Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

https://github.com/e-apostolidis/PGL-SUM

https://github.com/li-plus/DSNet

https://github.com/n9839950/EGH400-2-DSN

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/neda60/video-summarization-using-FCSN

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/srpkdyy/CLIP-It

CLIP-It! Language-Guided Video Summarization

https://github.com/tejas-gokhale/AGAT

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

https://github.com/wildoctopus/SADNet

Discriminative Feature Learning for Unsupervised Video Summarization

https://github.com/ymlwww/rlproject

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.