[D] Mask R-CNN was from 2017 - are there any good newer instance segmentation models in the last 4 years that beat it? Does anyone know if D2Det (2020) outperforms it? What would you say is the best instance segmentation model out there right now? Thanks

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • mmdetection

    OpenMMLab Detection Toolbox and Benchmark

  • If you want to find implementations of new methods check out MMDet. You can find SCNet on there which is a new 2021 Cascaded (multi-stage) model. The last time I looked into newer detection models (a few months ago) D2Det was the best performing two-stage detector I could find and SCNet was the best cascaded model. In the SCNet paper their model appears to be about ~1 AP above D2Det using the same (ResNet 101) backbone

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts