Event-based Object Segmentation
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Benchmarks
Most implemented
Segment Anything
Segment Any Events via Weighted Adaptation of Pivotal Tokens
ESS: Learning Event-based Semantic Segmentation from Still Images
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Event-Based Video Reconstruction Using Transformer
Papers
Segment Any Events via Weighted Adaptation of Pivotal Tokens
In this paper, we delve into the nuanced challenge of tailoring the Segment Anything Models (SAMs) for integration with event data, with the overarching objective of attaining robust and universal object segmentation wit…
Event-based Object SegmentationSegment Anything
We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the largest segmentation dataset to date (by far), with…
Event-based Object SegmentationImage SegmentationRobot Manipulation GeneralizationSegmentation+3ESS: Learning Event-based Semantic Segmentation from Still Images
Retrieving accurate semantic information in challenging high dynamic range (HDR) and high-speed conditions remains an open challenge for image-based algorithms due to severe image degradations. Event cameras promise to a…
Domain AdaptationEvent-based Object SegmentationSegmentationSemantic Segmentation+1EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Event cameras sense per-pixel intensity changes and produce asynchronous event streams with high dynamic range and less motion blur, showing advantages over conventional cameras. A hurdle of training event-based models i…
Event-based Object SegmentationKnowledge DistillationObject RecognitionSemantic SegmentationDual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams with high dynamic range and less motion blur. It has been shown that events alone can be used for end-ta…
DecoderDepth EstimationEvent-based Object SegmentationRepresentation Learning+3Event-Based Video Reconstruction Using Transformer
Event cameras, which output events by detecting spatio-temporal brightness changes, bring a novel paradigm to image sensors with high dynamic range and low latency. Previous works have achieved impressive performance…
Event-based Object SegmentationEvent-Based Video ReconstructionVideo Reconstruction