Universal representations:The missing link between faces, text, planktons, and cat breeds

25 January 2017

Andrea Vedaldi

Papers citing "Universal representations:The missing link between faces, text, planktons, and cat breeds"

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Title
UDON: Universal Dynamic Online distillatioN for generic image representations Nikolaos-Antonios Ypsilantis Kaifeng Chen André Araujo Ondřej Chum 35 3 0 12 Jun 2024
Supervised Batch Normalization Bilal Faye M. Lebbah Hanane Azzag 18 1 0 27 May 2024
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery Sai Bhargav Rongali Sarthak Mehrotra Ankit Jha C. MohamadHassanN Shirsha Bose Tanisha Gupta Mainak Singha Biplab Banerjee 38 2 0 08 Apr 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 38 2 0 07 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 37 1 0 01 Mar 2024
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 30 4 0 18 Dec 2023
Visually Grounded Continual Language Learning with Selective Specialization Kyra Ahrens Lennart Bengtson Jae Hee Lee Stefan Wermter 16 0 0 24 Oct 2023
Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Yingying Gao Shilei Zhang Zihao Cui Chao Deng Junlan Feng 13 0 0 23 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 20 0 0 10 Oct 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 25 6 0 21 Sep 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers Thomas De Min Massimiliano Mancini Alahari Karteek Xavier Alameda-Pineda Elisa Ricci CLL 16 9 0 18 Aug 2023
Multi-Domain Learning with Modulation Adapters E. Iakovleva Alahari Karteek Jakob Verbeek 10 1 0 17 Jul 2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention Rui Xu Zhi Liu Yong Luo Han Hu Li Shen Bo Du Kaiming Kuang Jiancheng Yang ViT 170 14 0 07 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 21 73 0 22 Feb 2023
The Expressive Power of Tuning Only the Normalization Layers Angeliki Giannou Shashank Rajput Dimitris Papailiopoulos 22 8 0 15 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 29 13 0 14 Dec 2022
An Empirical Study on Multi-Domain Robust Semantic Segmentation Yajie Liu Pu Ge Qingjie Liu Shichao Fan Yunhong Wang 11 2 0 08 Dec 2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey Xu Guo Han Yu LM&MA VLM 20 29 0 06 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations? Yutong Lin Ze Liu Zheng-Wei Zhang Han Hu Nanning Zheng Stephen Lin Yue Cao VLM 46 9 0 03 Nov 2022
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning Benyuan Sun Jinqiao Dai Zihao Liang Cong Liu Yi Yang Bo Bai MoE 18 4 0 03 Aug 2022
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks P. G. Cachi Sebastián Ventura K. Cios LRM 11 0 0 02 Aug 2022
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors Arnaud Boutillon Pierre-Henri Conze C. Pons Valérie Burdin Bhushan S Borotikar 25 18 0 27 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 15 2 0 14 Jul 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction Jiangpeng Yan Chen-Ping Yu Hanbo Chen Zhe Xu Junzhou Huang Xiu Li Jianhua Yao 12 0 0 15 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
Hospital-Agnostic Image Representation Learning in Digital Pathology Milad Sikaroudi Shahryar Rahnamayan H. R. Tizhoosh OOD 11 8 0 05 Apr 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 25 7 0 16 Mar 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 23 83 0 10 Jan 2022
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert Zhuang Liu Ozan Sener James Hays V. Koltun VLM 24 197 0 27 Dec 2021
INTERN: A New Learning Paradigm Towards General Vision Jing Shao Siyu Chen Yangguang Li Kun Wang Zhen-fei Yin ... F. Yu Junjie Yan Dahua Lin Xiaogang Wang Yu Qiao 8 34 0 16 Nov 2021
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation A. Bhunia Aneeshan Sain Pinaki Nath Chowdhury Yi-Zhe Song 11 28 0 26 Jul 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 15 14 0 23 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 30 3 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 Jul 2021
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets Arnaud Boutillon Pierre-Henri Conze C. Pons Valérie Burdin Bhushan S Borotikar 15 7 0 21 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 27 92 0 14 May 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 11 7 0 25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 24 84 0 25 Mar 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 13 12 0 26 Jan 2021
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 31 0 0 16 Dec 2020
CompositeTasking: Understanding Images by Spatial Composition of Tasks Nikola Popovic D. Paudel Thomas Probst Guolei Sun Luc Van Gool 14 7 0 16 Dec 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 11 140 0 22 Oct 2020
Multi-path Neural Networks for On-device Multi-domain Visual Classification Qifei Wang Junjie Ke Joshua Greaves Grace Chu Gabriel Bender ... Andrew G. Howard Feng Yang Ming-Hsuan Yang Jeff Gilbert P. Milanfar 22 8 0 10 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson Risto Miikkulainen 11 12 0 05 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 23 4 0 05 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 10 254 0 27 Sep 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks Chengcheng Wan H. Hoffmann Shan Lu Michael Maire OOD 29 11 0 15 Aug 2020
Object Detection with a Unified Label Space from Multiple Datasets Xiangyu Zhao S. Schulter Gaurav Sharma Yi-Hsuan Tsai Manmohan Chandraker Ying Nian Wu ObjD 13 69 0 15 Aug 2020