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Event Segmentation

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코드

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

https://github.com/CVPRUSFTampa/EventSegmentation

공식 코드

A Perceptual Prediction Framework for Self Supervised Event Segmentation

https://github.com/DexiangHong/Cascade-PC

공식 코드

Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)

https://github.com/cognitivemodeling/hierarchicalgatel0rd

공식 코드

Developing hierarchical anticipations via neural network-based event segmentation

https://github.com/contentandmaterialportrait/mae-gebd

공식 코드

Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge

https://github.com/em-llm/EM-LLM-model

공식 코드

Human-like Episodic Memory for Infinite Context LLMs

https://github.com/gx77/lcvsl

공식 코드

Local Compressed Video Stream Learning for Generic Event Boundary Detection

https://github.com/hello-jinwoo/LOVEU-CVPR2021

공식 코드

Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach

https://github.com/lufficc/sc-transformer

공식 코드

SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection

https://github.com/mcg-nju/ddm

공식 코드

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

https://github.com/mdimiccoli/Nonlocal-self-similarity-1D

공식 코드

Enhancing temporal segmentation by nonlocal self-similarity

https://github.com/rayush7/motion_ssl_gebd

공식 코드

Motion Aware Self-Supervision for Generic Event Boundary Detection

https://github.com/sming256/timeloc

공식 코드

TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos

https://github.com/th2l/GEBD-PyramidFeatureSimilarity

공식 코드

Generic Event Boundary Detection in Video with Pyramid Features

https://github.com/wang3702/CoSeg

공식 코드

CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

https://github.com/ziwei-zheng/efficientgebd

공식 코드

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection

https://github.com/MindSpore-paper-code-3/code2/tree/main/DDM

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

https://github.com/StanLei52/GEBD

Generic Event Boundary Detection: A Benchmark for Event Segmentation

https://github.com/VisualAnalysisOfHumans/LOVEU_TRACK1_TOP3_SUBMISSION

Generic Event Boundary Detection: A Benchmark for Event Segmentation

https://github.com/agentic-learning-ai-lab/memory-storyboard

Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos

https://github.com/code-implementation1/Code1/tree/main/DDM

Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

https://github.com/remindof/EV-MotionSeg

Event-Based Motion Segmentation by Motion Compensation

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