Online Clustering
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Benchmarks
cifar10
Most implemented
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Twin Contrastive Learning for Online Clustering
Contrastive Clustering
AN ONLINE ALGORITHM FOR CONSTRAINED FACE CLUSTERING IN VIDEOS
Papers
VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention
Diffusion Transformers deliver state-of-the-art video generation, but their long spatiotemporal sequences make attention the dominant deployment cost, and a deployable low-bit kernel must be accurate and fast. Accuracy i…
Online ClusteringVideo GenerationPHIDA: Persistence-Guided Node-to-Cluster Mapping for Online Clustering
Online clustering methods that adaptively create and update nodes as data arrive often make node learning explicit, whereas the mapping from the learned node state to output clusters often remains implicit or simplified.…
Online ClusteringScalable Model-Based Clustering with Sequential Monte Carlo
In online clustering problems, there is often a large amount of uncertainty over possible cluster assignments that cannot be resolved until more data are observed. This difficulty is compounded when clusters follow compl…
Online ClusteringOnline Density-Based Clustering for Real-Time Narrative Evolution Monitorin
Automated narrative intelligence systems for social media monitoring face significant scalability challenges when relying on batch clustering methods to process continuous data streams. We investigate replacing offline H…
Computational EfficiencyOnline ClusteringSpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision
The parallel advances in language modeling and speech representation learning have raised the prospect of learning language directly from speech without textual intermediates. This requires extracting semantic representa…
Representation LearningOnline ClusteringDETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
Aligning egocentric video with wearable sensors have shown promise for human action recognition, but face practical limitations in user discomfort, privacy concerns, and scalability. We explore exocentric video with ambi…
Action RecognitionOnline Clustering