Skip to content

Rankings Industries Companies Research Blog

Sign in List your company

ResearchFormerly WizWand

Papers Benchmarks Datasets Tasks

Research
Benchmarks
Traditional Symbolic Object Classification on BTSC

Traditional Symbolic Object Classification on BTSC

0.9897AccuracySill-Net

Updated 8mo ago

Evaluation results

Method	Links
Sill-Net2021.02		0.9897
CNN3ST2021.02		0.9887

State-of-the-art paper

Sill-Net

Sill-Net: Feature Augmentation with Separated Illumination Representation

Dataset

BTSC

Follow for updates

Join SOTA2 Contact

Related benchmarks

One-shot Classification on Belga to Flickr 32-way (test)One-shot Classification on Belga to TopLogo 11-way (test)One-shot classification on GTSRB→GTSRB (22+21)-way One-shot classification on GTSRB→TT100K 36-way One-shot classification on BTSC→BTSC (21+41)-way

Building an AI company?

Claim your profile, keep your facts current and see how buyers find you. Rankings are never paid for.

How rankings work List your company

Find AI companies and products for your business problem. Compare solutions and evidence by industry and task.

Explore

Rankings
Industries
Categories
Companies
Top AI companies

Read

Blog
Research
llms.txt

For AI companies

List your company
Claim a profile
Ranking badges

SOTA2 with AI

Claude connector
ChatGPT plugin
Tool reference
Connector privacy
Connector terms

SOTA2

Why SOTA2
How we rank
Contact

© 2026 SOTA2Built in Bellevue, USA