BaseTransformers: Attention over base data-points for One Shot Learning

5 October 2022

Papers citing "BaseTransformers: Attention over base data-points for One Shot Learning"

5 / 5 papers shown

Title
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts Mayug Maniparambil Chris Vorster D. Molloy N. Murphy Kevin McGuinness Noel E. O'Connor CLIP VLM MLLM 26 53 0 21 Jul 2023
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 213 322 0 16 Jan 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017