Co-training $2^L$ Submodels for Visual Recognition

Co-training $2^L$ Submodels for Visual Recognition

9 December 2022

Maxime Oquab

Piotr Bojanowski

Papers citing "Co-training $2^L$ Submodels for Visual Recognition"

10 / 10 papers shown

Title
Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin M. Beck Korbinian Poppel Sepp Hochreiter Johannes Brandstetter VLM 56 39 0 24 Feb 2025
CR-CTC: Consistency regularization on CTC for improved speech recognition Zengwei Yao Wei Kang Xiaoyu Yang Fangjun Kuang Liyong Guo Han Zhu Zengrui Jin Zhaoqing Li Long Lin Daniel Povey 39 0 0 17 Feb 2025
Morphing Tokens Draw Strong Masked Image Models Taekyung Kim Byeongho Heo Dongyoon Han 41 3 0 30 Dec 2023
Adaptive Depth Networks with Skippable Sub-Paths Woochul Kang 28 1 0 27 Dec 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 477 0 01 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 328 0 22 Jul 2020
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 187 472 0 12 Jun 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 267 402 0 09 Apr 2018