v1v2 (latest)

RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

50 / 2,036 papers shown

Title
Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning Zhiming Qian VLM SSL 54 0 0 11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 89 5 0 10 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 123 9 0 07 Oct 2023
PriViT: Vision Transformers for Fast Private Inference Naren Dhyani Jianqiao Mo Minsu Cho Ameya Joshi Siddharth Garg Brandon Reagen Chinmay Hegde 61 5 0 06 Oct 2023
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis Glejdis Shkëmbi Johanna P. Müller Zhe Li Katharina Breininger Peter Schüffler Bernhard Kainz 18 1 0 06 Oct 2023
Entropic Score metric: Decoupling Topology and Size in Training-free NAS Niccolò Cavagnero Luc Robbiano Francesca Pistilli Barbara Caputo Giuseppe Averta 52 3 0 06 Oct 2023
Accelerated Neural Network Training with Rooted Logistic Objectives Zhu Wang Praveen Raj Veluswami Harshit Mishra Sathya Ravi 59 0 0 05 Oct 2023
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data Konstantinos Pitas Julyan Arbel BDL UQCV FedML 59 0 0 04 Oct 2023
ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video Xinhao Li Yuhan Zhu Limin Wang VLM 97 9 0 02 Oct 2023
Incorporating Supervised Domain Generalization into Data Augmentation Shohei Enomoto Monikka Roslianna Busto Takeharu Eda 65 0 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 206 6 0 02 Oct 2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks Cameron Shinn Collin McCarthy Saurav Muralidharan Muhammad Osama John Douglas Owens 54 2 0 30 Sep 2023
Towards Free Data Selection with General-Purpose Models Alessandro Mutti Mingyu Ding Patrizia Semeraro Wei Zhan 86 10 0 29 Sep 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 150 67 0 29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 99 2 0 28 Sep 2023
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness Valentin Barriere Felipe del Rio Andres Carvallo De Ferari Carlos Aspillaga Eugenio Herrera-Berg Cristian Buc Calderon DiffM 61 0 0 27 Sep 2023
Convolutional Networks with Oriented 1D Kernels Alexandre Kirchmeyer Jia Deng 106 5 0 27 Sep 2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset Alvin De Jun Tan Clement Tan C. Yeo 92 0 0 27 Sep 2023
Boosting High Resolution Image Classification with Scaling-up Transformers Yi Wang ViT 21 0 0 26 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation Jiachen Sun Mark Ibrahim Melissa Hall Ivan Evtimov Z. Morley Mao Cristian Canton Ferrer C. Hazirbas VLM 94 7 0 26 Sep 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Daria Reshetova Swetava Ganguli C. V. K. Iyer Vipul Pandey 54 3 0 26 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models Rafael-Edy Menadil Mariana-Iuliana Georgescu Radu Tudor Ionescu VLM DiffM 61 0 0 26 Sep 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers Guoxi Huang Hongtao Fu A. Bors 119 7 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 93 63 0 23 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 75 2 0 22 Sep 2023
Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems? Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 28 4 0 21 Sep 2023
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering T. Park Simone DÁmico 99 8 0 20 Sep 2023
Sentence Attention Blocks for Answer Grounding Seyedalireza Khoshsirat Chandra Kambhamettu 75 8 0 20 Sep 2023
RMT: Retentive Networks Meet Vision Transformers Qihang Fan Huaibo Huang Mingrui Chen Hongmin Liu Ran He ViT 162 91 0 20 Sep 2023
Interpret Vision Transformers as ConvNets with Dynamic Convolutions Chong Zhou Chen Change Loy Bo Dai ViT 94 1 0 19 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 71 5 0 19 Sep 2023
Realistic Website Fingerprinting By Augmenting Network Trace Alireza Bahramali Ardavan Bozorgi Amir Houmansadr 36 27 0 18 Sep 2023
Selective Volume Mixup for Video Action Recognition Yi Tan Zhaofan Qiu Y. Hao Ting Yao Xiangnan He Tao Mei ViT 72 2 0 18 Sep 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding Yu-Cheng Hsieh Cheng Sun Suraj Dengale Min Sun 3DPC 67 1 0 18 Sep 2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval Nina Shvetsova Anna Kukleva Bernt Schiele Hilde Kuehne DiffM 70 4 0 16 Sep 2023
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning Zhiwu Qing Shiwei Zhang Ziyuan Huang Yingya Zhang Changxin Gao Deli Zhao Nong Sang 78 20 0 14 Sep 2023
Neural network-based coronary dominance classification of RCA angiograms Ivan Kruzhilov Egor Ikryannikov Artem Shadrin Ruslan Utegenov Galina Zubkova Ivan Bessonov 14 4 0 13 Sep 2023
KD-FixMatch: Knowledge Distillation Siamese Neural Networks Chi Wang Shaoyuan Xu Jinmiao Fu Yang Liu Bryan Wang 34 0 0 11 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 35 1 0 11 Sep 2023
Toward a Deeper Understanding: RetNet Viewed through Convolution Chenghao Li Chaoning Zhang ViT 68 7 0 11 Sep 2023
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation Z. Zang Hao Luo Kaidi Wang Panpan Zhang F. Wang Stan. Z Li Yang You 83 5 0 10 Sep 2023
AudRandAug: Random Image Augmentations for Audio Classification Teerath Kumar Muhammad Turab Alessandra Mileo Malika Bendechache Takfarinas Saber 66 7 0 09 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Dinesh Manocha 67 17 0 09 Sep 2023
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models Hai-Ming Xu Lingqiao Liu Hao Chen Ehsan Abbasnejad Rafael Felix 76 0 0 09 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications Elvis Nunez Thomas Merth Anish K. Prabhu Mehrdad Farajtabar Mohammad Rastegari Sachin Mehta Maxwell Horton 38 1 0 08 Sep 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test Johannes Flotzinger Philipp J. Rösch Norbert Oswald T. Braml 84 0 0 07 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning Guan Gui Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi AAML 84 7 0 07 Sep 2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions Haochen Wang Junsong Fan Yuxi Wang Kaiyou Song Tong Wang Zhaoxiang Zhang 80 21 0 07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size John Chen Chen Dun Anastasios Kyrillidis 48 3 0 07 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 83 8 0 06 Sep 2023