pith. sign in

Title resolution pending

Minesh Mathew, Viraj Bagal, Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny, CV Jawahar · 2022

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.CV 1

years

2024 1

verdicts

UNVERDICTED 1

representative citing papers

NVILA: Efficient Frontier Visual Language Models

cs.CV · 2024-12-05 · unverdicted · novelty 5.0

NVILA improves on VILA with a scale-then-compress visual token strategy and full-lifecycle efficiency optimizations, matching or exceeding leading VLMs on image and video benchmarks while reducing training cost 1.9-5.1x and latencies 1.2-2.8x.

citing papers explorer

Showing 1 of 1 citing paper.

  • NVILA: Efficient Frontier Visual Language Models cs.CV · 2024-12-05 · unverdicted · none · ref 50

    NVILA improves on VILA with a scale-then-compress visual token strategy and full-lifecycle efficiency optimizations, matching or exceeding leading VLMs on image and video benchmarks while reducing training cost 1.9-5.1x and latencies 1.2-2.8x.