Simulated 128×128 event-camera streams of the egocentric WEAR videos, converted with v2e, cut into two-second clips per annotated activity segment, 18 subjects. Code and paper: github.com/fauzisho/SNN-Fusion-HopfieldPooling.
README.txt (format, conversion settings, licence) · SHA256SUMS · manifest.json
Licence: CC BY-NC-SA 4.0, derivative of WEAR (Bock et al., 2024). Please cite WEAR and the N-WEAR paper.