Learning Expressive Prompting With Residuals for Vision Transformers

27 March 2023

Papers citing "Learning Expressive Prompting With Residuals for Vision Transformers"

50 / 57 papers shown

Title
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 122 382 0 13 May 2022
Exploring Visual Prompts for Adapting Large-Scale Models Hyojin Bahng Ali Jahanian S. Sankaranarayanan Phillip Isola VLM VPVLM LRM 70 272 0 31 Mar 2022
Fine-tuning Image Transformers using Learnable Memory Mark Sandler A. Zhmoginov Max Vladymyrov Andrew Jackson ViT 81 48 0 29 Mar 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 164 1,645 0 23 Mar 2022
Domain Adaptation via Prompt Learning Chunjiang Ge Rui Huang Mixue Xie Zihang Lai Shiji Song Shuang Li Gao Huang VPVLM VLM 107 154 0 14 Feb 2022
Language-driven Semantic Segmentation Boyi Li Kilian Q. Weinberger Serge Belongie V. Koltun René Ranftl VLM 139 628 0 10 Jan 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 105 796 0 16 Dec 2021
Prompting Visual-Language Models for Efficient Video Understanding Chen Ju Tengda Han Kunhao Zheng Ya Zhang Weidi Xie VPVLM VLM 102 381 0 08 Dec 2021
Benchmarking Detection Transfer Learning with Vision Transformers Yanghao Li Saining Xie Xinlei Chen Piotr Dollar Kaiming He Ross B. Girshick 91 168 0 22 Nov 2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models Yuan Yao Ao Zhang Zhengyan Zhang Zhiyuan Liu Tat-Seng Chua Maosong Sun MLLM VPVLM VLM 283 224 0 24 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 513 2,422 0 02 Sep 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 135 109 0 06 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 239 4,004 0 28 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 294 2,845 0 15 Jun 2021
Segmenter: Transformer for Semantic Segmentation Robin Strudel Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid ViT 218 1,473 0 12 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 594 4,093 0 18 Apr 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 102 364 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 86 296 0 04 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation Bingfeng Zhang Jimin Xiao Terry Qin 73 166 0 30 Mar 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning Namyeong Kwon Hwidong Na Gabriel Huang Simon Lacoste-Julien 55 7 0 16 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,305 0 01 Jan 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 194 2,911 0 31 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning Demi Guo Alexander M. Rush Yoon Kim 84 406 0 14 Dec 2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers Huiyu Wang Yukun Zhu Hartwig Adam Alan Yuille Liang-Chieh Chen ViT 128 531 0 01 Dec 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation Xianghui Yang Bairun Wang Kaige Chen Xinchi Zhou Shuai Yi Wanli Ouyang Luping Zhou 63 49 0 14 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 88 210 0 20 Jul 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 454 13,130 0 26 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning Jonas Pfeiffer Aishwarya Kamath Andreas Rucklé Kyunghyun Cho Iryna Gurevych CLL MoMe 158 859 0 01 May 2020
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation Siddhartha Gairola Mayur Hemani Ayush Chopra Balaji Krishnamurthy 58 54 0 30 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 97 28 0 12 Apr 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 228 195 0 24 Mar 2020
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 63 151 0 11 Dec 2019
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 146 1,412 0 28 Nov 2019
Differentiable Meta-learning Model for Few-shot Semantic Segmentation Pinzhuo Tian Zhangkai Wu Lei Qi Lei Wang Yinghuan Shi Yang Gao VLM 62 82 0 23 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,474 0 07 Nov 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 97 447 0 01 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 110 331 0 28 Sep 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng VLM 72 1,071 0 18 Aug 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation Xiang Li Tianhan Wei Yau Pun Chen Yu-Wing Tai Chi-Keung Tang VLM 80 248 0 29 Jul 2019
A Survey of Deep Learning-based Object Detection L. Jiao Fan Zhang Fang Liu Shuyuan Yang Lingling Li Zhixi Feng Rong Qu ObjD 101 970 0 11 Jul 2019
Zero-Shot Semantic Segmentation Max Bucher Tuan-Hung Vu Matthieu Cord P. Pérez VLM SSeg 158 321 0 03 Jun 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 279 2,326 0 02 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,769 0 08 Apr 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 70 544 0 06 Mar 2019
Video Action Transformer Network Rohit Girdhar João Carreira Carl Doersch Andrew Zisserman ViT 148 709 0 06 Dec 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 64 1,131 0 25 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,201 0 20 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 314 4,054 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 176 1,240 0 10 Nov 2017