Revitalizing CNN Attentions via Transformers in Self-Supervised Visual
Representation Learning

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

11 October 2021

Papers citing "Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning"

10 / 10 papers shown

Title
Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang Dongyoung Kim Junsu Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 27 2 0 11 Jun 2024
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning Chongjian Ge Jiangliu Wang Zhan Tong Shoufa Chen Yibing Song Ping Luo SSL 11 26 0 30 Mar 2023
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 38 8 0 05 Jun 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
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 267 955 0 27 Jan 2021
SEED: Self-supervised Distillation For Visual Representation Zhiyuan Fang Jianfeng Wang Lijuan Wang Lei Zhang Yezhou Yang Zicheng Liu SSL 231 186 0 12 Jan 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 208 732 0 07 Jan 2021
Self-supervised Co-training for Video Representation Learning Tengda Han Weidi Xie Andrew Zisserman SSL 198 304 0 19 Oct 2020
Unsupervised Deep Representation Learning for Real-Time Tracking Ning Wang Wen-gang Zhou Yibing Song Chao Ma Wei Liu Houqiang Li HAI 79 102 0 22 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020