You Only Need Half: Boosting Data Augmentation by Using Partial Content

5 May 2024

Papers citing "You Only Need Half: Boosting Data Augmentation by Using Partial Content"

8 / 8 papers shown

Title
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies Shubham Gandhi Dhruv Shah Manasi S. Patwardhan L. Vig Gautam M. Shroff LLMAG AI4CE 143 0 0 28 Apr 2025
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 197 176 0 05 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 261 36,371 0 25 Aug 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 292 36,335 0 08 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014