SuperGLUE Dataset

Tomasz Malisiewicz on X: Long-term visual localization is hard for classical #computervision methods. Checkout our SuperGlue Feature Matching Graph Network paper v2 with revamped Appendix and play with our pretrained #PyTorch models #

2205.05131] UL2: Unifying Language Learning Paradigms

ANLI Dataset Papers With Code

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding - ACL Anthology

Eliciting knowledge from language models with automatically generated continuous prompts - ScienceDirect

IJGI, Free Full-Text

HTMatch: An efficient hybrid transformer based graph neural network for local feature matching - ScienceDirect

PDF) HyperPrompt: Prompt-based Task-Conditioning of Transformers

SuperGlue not working using seqio.get_dataset - data type ' *' not understood · Issue #950 · google-research/text-to-text-transfer-transformer · GitHub

Two minutes NLP — GLUE Tasks and 2022 Leaderboard, by Fabio Chiusano, NLPlanet

SuperGlue-based accurate feature matching via outlier filtering

Superglue — Journey of Lineage, Data Observability & Data Pipelines, by Sunil Goplani