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Event-based Optical Flow
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow
Nonlinear Motion-Guided and Spatio-Temporal Aware Network for Unsupervised Event-Based Optical Flow
Perturbed State Space Feature Encoders for Optical Flow with Event Cameras
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
Vector-Symbolic Architecture for Event-Based Optical Flow
Event-based Background-Oriented Schlieren
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
TMA: Temporal Motion Aggregation for Event-based Optical Flow
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
Dynamic Event-based Optical Identification and Communication
Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow
Fast Event-based Optical Flow Estimation by Triplet Matching
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics
Secrets of Event-Based Optical Flow
3D-FlowNet: Event-based optical flow estimation with 3D representation
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
PCA Event-Based Optical Flow for Visual Odometry
Distance Surface for Event-Based Optical Flow
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.