https://github.com/82magnolia/ev_tta
공식 코드Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
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An event camera, also known as a neuromorphic camera, silicon retina or dynamic vision sensor, is an imaging sensor that responds to local changes in brightness. Event cameras do not capture images using a shutter as conventional cameras do. Instead, each pixel inside an event camera operates independently and asynchronously, reporting changes in brightness as they occur and staying silent otherwise. Modern event cameras have microsecond temporal resolution, 120 dB dynamic range, and less under/overexposure and motion blur than frame cameras.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
Person Re-Identification without Identification via Event Anonymization
Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
Moving Object Detection for Event-based vision using Graph Spectral Clustering
CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Event-based Vision for Early Prediction of Manipulation Actions
E$^2$(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
Event-Based Visual Odometry on Non-Holonomic Ground Vehicles
Hierarchical Neural Memory Network for Low Latency Event Processing
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Covariant spatio-temporal receptive fields for spiking neural networks
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
Moving Object Detection for Event-based Vision using k-means Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.