Generic Event Boundary Detection
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Benchmarks
Kinetics-GEBD
TAPOS
Most implemented
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
Generic Event Boundary Detection: A Benchmark for Event Segmentation
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
Rethinking the Architecture Design for Efficient Generic Event Boundary Detection
Local Compressed Video Stream Learning for Generic Event Boundary Detection
MAE-GEBD:Winning the CVPR'2023 LOVEU-GEBD Challenge
Papers
Training-Free Temporal Abstraction for General Video Understanding
Videos are expensive to analyze frame by frame, yet many video understanding tasks depend on knowing where relevant moments occur. A system may need to find when an action changes, locate the segment described by a sente…
Generic Event Boundary DetectionMoment RetrievalStructured Context Learning for Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) aims to identify moments in videos that humans perceive as event boundaries. This paper proposes a novel method for addressing this task, called Structured Context Learning, which …
Generic Event Boundary DetectionVADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Video anomaly detection (VAD) focuses on identifying anomalies in videos. Supervised methods demand substantial in-domain training data and fail to deliver clear explanations for anomalies. In contrast, training-free met…
Generic Event Boundary DetectionVideo Anomaly DetectionOnline Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) aims to interpret long-form videos through the lens of human perception. However, current GEBD methods require processing complete video frames to make predictions, unlike humans p…
Generic Event Boundary DetectionEvent SegmentationGeneric Event Boundary Detection via Denoising Diffusion
Generic event boundary detection (GEBD) aims to identify natural boundaries in a video, segmenting it into distinct and meaningful chunks. Despite the inherent subjectivity of event boundaries, previous methods have focu…
Generic Event Boundary DetectionTimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
Temporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial for video understanding but remains challenging. This task encompasses several subtasks, including temporal action localiz…
Action LocalizationBoundary DetectionChunkingGeneric Event Boundary Detection+5