facebookresearch/silk

This is stars and forks stats for /facebookresearch/silk repository. As of 29 Apr, 2024 this repository has 503 stars and 46 forks.

SiLK - Simple Learned Keypoints [Arxiv Paper] Authors : Pierre Gleize, Weiyao Wang and Matt Feiszli Conference : ICCV 2023 SiLK is a self-supervised framework for learning keypoints. SiLK focuses on simplicity and flexibility, while also providing state-of-art and competitive results on existing benchmarks. Pre-trained models are also provided. The released code has been tested on Linux, with two Tesla V100-SXM2 GPUs and takes about 5 hours to train. Requirements conda should be installed...