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Found 3 papers, 2 papers with code
Retrieval-Augmented Open-Vocabulary Object Detection
Specifically, RALF consists of two modules: Retrieval Augmented Losses (RAL) and Retrieval-Augmented visual Features (RAF).
Ranked #9 on
Open Vocabulary Object Detection
on MSCOCO
(using extra training data)
Distribution-Aware Prompt Tuning for Vision-Language Models
Pre-trained vision-language models (VLMs) have shown impressive performance on various downstream tasks by utilizing knowledge learned from large data.
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error
We thus propose a new post-training non-uniform quantization method, called Mr. BiQ, allowing low bit-width quantization even on Transformer models.
