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D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition

8 April 2025

Papers citing "D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition"

46 / 46 papers shown

Title
MObI: Multimodal Object Inpainting Using Diffusion Models Alexandru Buburuzan Anuj Sharma John Redford P. Dokania Romain Mueller DiffM 152 1 0 06 Jan 2025
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam Muhammad Zaigham Zaheer Arif Mahmood Karthik Nandakumar DiffM 59 39 0 05 Apr 2024
DreamDA: Generative Data Augmentation with Diffusion Models Yunxiang Fu Chaoqi Chen Yu Qiao Yizhou Yu VLM DiffM 65 16 0 19 Mar 2024
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 91 32 0 12 Jun 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap Alyssa Umino Han Zhang Jiezhi Yang Joseph E. Gonzalez Trevor Darrell DiffM 62 79 0 25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 68 47 0 24 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 65 19 0 22 May 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 101 314 0 17 Apr 2023
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion Jordan Shipard Arnold Wiliem Kien Nguyen Thanh Wei Xiang Clinton Fookes DiffM 55 77 0 07 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 85 255 0 07 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 76 93 0 05 Feb 2023
PACO: Parts and Attributes of Common Objects Vignesh Ramanathan Anmol Kalia Vladan Petrovic Yiqian Wen Baixue Zheng ... Abhishek Kadian Amir Mousavi Yi-Zhe Song Abhimanyu Dubey D. Mahajan VLM 85 104 0 04 Jan 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip Torr DiffM 72 12 0 21 Dec 2022
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 84 159 0 16 Dec 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 67 5 0 29 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 101 48 0 25 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 207 1,813 0 17 Nov 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 194 3,482 0 16 Oct 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 94 302 0 14 Oct 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 352 1,418 0 24 Jan 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 171 5,192 0 10 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 460 15,665 0 20 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 277 536 0 06 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 96 98 0 02 Dec 2021
Learning to Compose Visual Relations Nan Liu Shuang Li Yilun Du J. Tenenbaum Antonio Torralba CoGe OCL 71 80 0 17 Nov 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 60 23 0 02 Aug 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang ViT 321 649 0 21 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 455 21,439 0 25 Mar 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 650 18,096 0 19 Jun 2020
Robust Object Detection under Occlusion with Context-Aware CompositionalNets Angtian Wang Yihong Sun Adam Kortylewski Alan Yuille ObjD 97 114 0 24 May 2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski Ju He Qing Liu Alan Yuille 94 91 0 10 Mar 2020
Learning Canonical Representations for Scene Graph to Image Generation Roei Herzig Amir Bar Huijuan Xu Gal Chechik Trevor Darrell Amir Globerson GNN OCL 66 108 0 16 Dec 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Jiexia Ye W. Zuo 61 62 0 02 Jun 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 64 62 0 28 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 620 4,780 0 13 May 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 112 914 0 30 Oct 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,797 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 94 3,637 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 117 3,773 0 15 Aug 2017
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 81 947 0 01 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,623 0 06 Apr 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 705 36,997 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,294 0 04 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 280 19,066 0 20 Dec 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 98 640 0 08 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,777 0 01 May 2014