https://github.com/BerserkerMother/Video-Summarization
공식 코드SELF-VS: Self-supervised Encoding Learning For Video Summarization
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/BorealisAI/TSC-Disc-Proto
공식 코드Learning Discriminative Prototypes with Dynamic Time Warping
https://github.com/CMFiltenborg/lingually_constrained_tracking
공식 코드https://github.com/Darcyddx/Video-LLM
공식 코드https://github.com/HopLee6/SSPVS-PyTorch
공식 코드Progressive Video Summarization via Multimodal Self-supervised Learning
https://github.com/HopLee6/VJMHT-PyTorch
공식 코드Video Joint Modelling Based on Hierarchical Transformer for Co-summarization
https://github.com/Jason-Qiu/MultiSum_model
공식 코드MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
https://github.com/Jhhuangkay/Query-controllable-Video-Summarization
공식 코드https://github.com/KaiyangZhou/vsumm-reinforce
공식 코드https://github.com/M-Elfeki/Multi-DPP
공식 코드https://github.com/Skyline-9/Shotluck-Holmes
공식 코드https://github.com/TIBHannover/MSVA
공식 코드Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
https://github.com/TIBHannover/UnsupervisedVideoSummarization
공식 코드https://github.com/YairShemer/ILS-SUMM
공식 코드ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization
https://github.com/aashgan/temporalperturbsum
공식 코드Does SpatioTemporal information benefit Two video summarization benchmarks?
https://github.com/arunbalajeev/query-video-summary
공식 코드Query-adaptive Video Summarization via Quality-aware Relevance Estimation
https://github.com/baiyang4/d-lsg-video-caption
공식 코드https://github.com/boheumd/A2Summ
공식 코드Align and Attend: Multimodal Summarization with Dual Contrastive Losses
https://github.com/bytedance/Shot2Story
공식 코드Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
https://github.com/davidmchan/anim400k
공식 코드ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video
https://github.com/dongqi-me/vista
공식 코드What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
https://github.com/dot27/temporal-tessellation
공식 코드Temporal Tessellation: A Unified Approach for Video Analysis
https://github.com/facebookresearch/EgoVLPv2
공식 코드EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
https://github.com/fuankarion/audiovisual-person-search
공식 코드https://github.com/gyxxyg/vtg-llm
공식 코드VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
https://github.com/hanklee97121/SUM-SR-5iter
공식 코드Unsupervised Video Summarization via Iterative Training and Simplified GAN
https://github.com/hayyubi/views
공식 코드https://github.com/hcmus-thesis-gulu/context-aware-summarization
공식 코드https://github.com/hcmus-thesis-gulu/tac-sum
공식 코드Cluster-based Video Summarization with Temporal Context Awareness
https://github.com/iamgmujtaba/ltc-sum
공식 코드LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
https://github.com/idt-iti/360-vsumm
공식 코드https://github.com/idt-iti/ca-sum-360
공식 코드An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
https://github.com/idt-iti/sd-vsum
공식 코드SD-VSum: A Method and Dataset for Script-Driven Video Summarization
https://github.com/idt-iti/xai-video-summaries
공식 코드An Integrated Framework for Multi-Granular Explanation of Video Summarization
https://github.com/intellabs/gravi-t
공식 코드VideoSAGE: Video Summarization with Graph Representation Learning
https://github.com/j-min/HiREST
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.