Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

17 March 2022

Papers citing "Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning"

28 / 28 papers shown

Title
Memory-Modular Classification: Learning to Generalize with Memory Replacement Dahyun Kang Ahmet Iscen Eunchan Jo Sua Choi Minsu Cho Cordelia Schmid VLM KELM OffRL 24 0 0 08 Apr 2025
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 33 2 0 28 Aug 2024
ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation Chang Li Pengfei Zhang Yu Wang 30 0 0 03 Jul 2024
ConSept: Continual Semantic Segmentation via Adapter-based Vision Transformer Bowen Dong Guanglei Yang W. Zuo Lei Zhang 46 1 0 26 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 17 5 0 04 Feb 2024
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 19 0 0 14 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Lingyu Si VLM ViT 52 1 0 05 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning Gaurav Bhatt Deepayan Das Leonid Sigal Vineeth N. Balasubramanian 16 4 0 30 Sep 2023
Towards Free Data Selection with General-Purpose Models Alessandro Mutti Mingyu Ding Patrizia Semeraro Wei Zhan 21 9 0 29 Sep 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 13 0 0 28 Jul 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 21 0 0 02 Jun 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 11 3 0 17 May 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 6 35 0 25 Mar 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 15 3 0 18 Feb 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li M. Wang Sijia Liu Pin-Yu Chen ViT MLT 35 56 0 12 Feb 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 22 42 0 28 Nov 2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 8 6 0 27 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 21 42 0 26 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 16 1 0 20 Aug 2022
Token Pooling in Vision Transformers D. Marin Jen-Hao Rick Chang Anurag Ranjan Anish K. Prabhu Mohammad Rastegari Oncel Tuzel ViT 65 66 0 08 Oct 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing Boyu Chen Peixia Li Baopu Li Chuming Li Lei Bai Chen Lin Ming-hui Sun Junjie Yan Wanli Ouyang ViT 63 33 0 07 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 300 5,761 0 29 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 270 973 0 27 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Few-shot Image Recognition with Manifolds Debasmit Das J. Moon C. S. George Lee 15 9 0 22 Oct 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 158 339 0 09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017