Event Segmentation
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Benchmarks
Kinetics-400
Most implemented
Generic Event Boundary Detection: A Benchmark for Event Segmentation
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Human-like Episodic Memory for Infinite Context LLMs
Developing hierarchical anticipations via neural network-based event segmentation
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Papers
Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection
As the scale of video surveillance data outpaces manual annotation capacities, weakly supervised video anomaly detection (WSVAD) has emerged as a critical research frontier. Most existing approaches formulate WSVAD withi…
Multiple Instance LearningVideo Anomaly DetectionEvent SegmentationWorth Remembering: Surprise-Gated Robot Episodic Memory
Robots solving generalist tasks need to be able to ground instructions in their past experience, since humans may refer to notable past events when giving a task (e.g., ``Take me to where the chemical spill happened yest…
Event SegmentationQuestion AnsweringHingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues
Long-term memory is critical for dialogue systems that support continuous, sustainable, and personalized interactions. However, existing methods rely on continuous summarization or OpenIE-based graph construction paired …
Event SegmentationQuestion AnsweringLoss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
High-quality video datasets are foundational for training robust models in tasks like action recognition, phase detection, and event segmentation. However, many real-world video datasets suffer from annotation errors suc…
Event SegmentationAction RecognitionVideo SegmentationSegment Any Events with Language
Scene understanding with free-form language has been widely explored within diverse modalities such as images, point clouds, and LiDAR. However, related studies on event sensors are scarce or narrowly centered on semanti…
Instance SegmentationScene UnderstandingEvent SegmentationPoint CloudsES-Mem: Event Segmentation-Based Memory for Long-Term Dialogue Agents
Memory is critical for dialogue agents to maintain coherence and enable continuous adaptation in long-term interactions. While existing memory mechanisms offer basic storage and retrieval capabilities, they are hindered …
Semantic SimilarityEvent Segmentation