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Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning

Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning

9 March 2022
Zhenhailong Wang
Hangyeol Yu
Manling Li
Han Zhao
Heng Ji
    VLM
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Papers citing "Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning"

5 / 5 papers shown
Title
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
392
4,185
0
28 Jan 2022
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins
Shubham Goel
Kenan Deng
Achleshwar Luthra
Leon L. Xu
...
T. F. Y. Vicente
T. Dideriksen
H. Arora
M. Guillaumin
Jitendra Malik
156
218
0
12 Oct 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
346
3,726
0
11 Feb 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
196
640
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
508
11,727
0
09 Mar 2017
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