https://github.com/Tangshitao/ClipShots
공식 코드Fast Video Shot Transition Localization with Deep Structured Models
Papers with Code 아카이브
Camera shot boundary detection
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The objective of camera shot boundary detection is to find the transitions between the camera shots in a video and classify the type of camera transition. This task is introduced in SoccerNet-v2, where 3 types of transitions are considered (abrupt, logo, smooth).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/melgharib/DSBD
공식 코드https://github.com/soCzech/TransNet
공식 코드TransNet: A deep network for fast detection of common shot transitions
https://github.com/soCzech/TransNetV2
공식 코드TransNet V2: An effective deep network architecture for fast shot transition detection
https://github.com/wentaozhu/AutoShot
공식 코드AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
https://github.com/JoelLeupp/Conv3D-Shot-Boundary-Detection
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
https://github.com/MikeG112/RFSBD
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
https://github.com/SilvioGiancola/SoccerNetv2-DevKit
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/Tangshitao/ClipShots_basline
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
https://github.com/abramjos/Scene-boundary-detection
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
https://github.com/aimagelab/rmsnet_soccer
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/alokssingh/Temporal-segmentation-Shot-boundary
https://github.com/oladeha2/shot_boudary_detector
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
https://github.com/shallwe999/TransNetV2-SBD-Visualize
TransNet: A deep network for fast detection of common shot transitions
https://github.com/soCzech/MasterThesis
TransNet V2: An effective deep network architecture for fast shot transition detection
https://github.com/soccernet/sn-grounding
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/soccernet/sn-spotting
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/wqliu657/TransNetV2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.