v1v2 (latest)

Emerging Properties in Self-Supervised Vision Transformers

29 April 2021

Papers citing "Emerging Properties in Self-Supervised Vision Transformers"

50 / 4,176 papers shown

Title
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency Junhao Chen Manyi Li Zherong Pan Xifeng Gao Changhe Tu DiffM 119 2 0 07 Jun 2024
Coherent Zero-Shot Visual Instruction Generation Quynh Phung Songwei Ge Jia-Bin Huang 87 2 0 06 Jun 2024
Improving Alignment and Robustness with Circuit Breakers Andy Zou Long Phan Justin Wang Derek Duenas Maxwell Lin Maksym Andriushchenko Rowan Wang Zico Kolter Matt Fredrikson Dan Hendrycks AAML 162 114 0 06 Jun 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization L. Eyring Shyamgopal Karthik Karsten Roth Alexey Dosovitskiy Zeynep Akata 166 28 0 06 Jun 2024
A Survey on 3D Human Avatar Modeling -- From Reconstruction to Generation Ruihe Wang Yukang Cao Kai Han Kwan-Yee K. Wong 125 6 0 06 Jun 2024
Matching Anything by Segmenting Anything Siyuan Li Lei Ke Martin Danelljan Luigi Piccinelli Mattia Segu Luc Van Gool Fisher Yu VOS 109 27 0 06 Jun 2024
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling Xinhang Liu Yu-Wing Tai Chi-Keung Tang Pedro Miraldo Suhas Lohit Moitreya Chatterjee 3DGS 181 5 0 06 Jun 2024
The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning Dulhan Jayalath Gilad Landau Brendan Shillingford M. Woolrich Oiwi Parker Jones SSL 135 7 0 06 Jun 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 106 1 0 05 Jun 2024
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review Sonia Bbouzidi Ghazala Hcini Imen Jdey Fadoua Drira 99 5 0 05 Jun 2024
Learning Visual Prompts for Guiding the Attention of Vision Transformers Razieh Rezaei Masoud Jalili Sabet Jindong Gu Daniel Rueckert Philip Torr Ashkan Khakzar 70 5 0 05 Jun 2024
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter Peng-Fei Xing Ning Wang Jianbo Ouyang Zechao Li DiffM 79 1 0 05 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 130 1 0 05 Jun 2024
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation Min-Jae Hwang Ilia Kulikov Benjamin Peloquin Hongyu Gong Peng-Jen Chen Ann Lee 74 3 0 04 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders Scott C. Lowe Joakim Bruslund Haurum Sageev Oore T. Moeslund Graham W. Taylor SSL 122 4 0 04 Jun 2024
Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models Victor Miara Theo Lepage Reda Dehak 87 1 0 04 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising Chengjie Wang Haokun Zhu Jinlong Peng Yue Wang Ran Yi Yunsheng Wu Lizhuang Ma Jiangning Zhang 139 6 0 04 Jun 2024
Analyzing the Feature Extractor Networks for Face Image Synthesis Erdi Sarıtaş H. K. Ekenel CVBM EGVM 87 1 0 04 Jun 2024
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding Y. Wu Jiarui Meng Haijie Li Chenming Wu Yahao Shi ... Chen Zhao Haocheng Feng Errui Ding Jingdong Wang Jian Zhang 3DGS 3DPC 96 35 0 04 Jun 2024
FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping Yuzhou Ji He Zhu Junshu Tang Wuyi Liu Zhizhong Zhang Yuan Xie Xin Tan 66 9 0 04 Jun 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning Leonardo Iurada Marco Ciccone Tatiana Tommasi 93 3 0 03 Jun 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP S. Balasubramanian Samyadeep Basu Soheil Feizi CLIP 88 6 0 03 Jun 2024
fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings Tillmann Ohm Andres Karjus Mikhail Tamm Maximilian Schich 88 1 0 03 Jun 2024
Scaling Up Deep Clustering Methods Beyond ImageNet-1K Nikolas Adaloglou Félix D. P. Michels Kaspar Senft Diana Petrusheva M. Kollmann 119 1 0 03 Jun 2024
Effective Subset Selection Through The Lens of Neural Network Pruning Noga Bar Raja Giryes CVBM 96 1 0 03 Jun 2024
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation Fei Gao Siwen Wang Fandong Zhang Hong-Yu Zhou Yizhou Wang Chu-ran Wang Gang Yu Yizhou Yu 60 1 0 03 Jun 2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification Xuenian Wang Shanshan Shi Renao Yan Qiehe Sun Lianghui Zhu Tian Guan Yonghong He 80 2 0 02 Jun 2024
Bilateral Guided Radiance Field Processing Yuehao Wang Chaoyi Wang Bingchen Gong Tianfan Xue 137 10 0 01 Jun 2024
Learning Manipulation by Predicting Interaction Jia Zeng Qingwen Bu Bangjun Wang Wenke Xia Li Chen ... Heming Cui Bin Zhao Xuelong Li Yu Qiao Hongyang Li 139 26 0 01 Jun 2024
Contrastive Learning Via Equivariant Representation Sifan Song Jinfeng Wang Qiaochu Zhao Xiang Li Dufan Wu Angelos Stefanidis Jionglong Su S. Kevin Zhou Quanzheng Li 83 1 0 01 Jun 2024
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights Xin Wen Bingchen Zhao Yilun Chen Jiangmiao Pang Xiaojuan Qi 133 4 0 31 May 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 101 0 0 31 May 2024
Extreme Point Supervised Instance Segmentation Hyeonjun Lee S. Hwang Suha Kwak 72 2 0 31 May 2024
4Diffusion: Multi-view Video Diffusion Model for 4D Generation Haiyu Zhang Xinyuan Chen Yaohui Wang Xihui Liu Yunhong Wang Yu Qiao VGen 119 33 0 31 May 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images Krishnakant Singh Thanush Navaratnam Jannik Holmer Simone Schaub-Meyer Stefan Roth DiffM 102 21 0 30 May 2024
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining Yi Wang C. Albrecht Xiao Xiang Zhu 91 10 0 30 May 2024
CoSy: Evaluating Textual Explanations of Neurons Laura Kopf P. Bommer Anna Hedström Sebastian Lapuschkin Marina M.-C. Höhne Kirill Bykov 73 13 0 30 May 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections Massimo Bini Karsten Roth Zeynep Akata Anna Khoreva 75 5 0 30 May 2024
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models Edoardo Arnaudo Jacopo Lungo Vaschetti Lorenzo Innocenti Luca Barco Davide Lisi V. Fissore Claudio Rossi 68 2 0 30 May 2024
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks Xiaoyu Wu Jiaru Zhang Yang Hua Bohan Lyu Hao Wang Tao Song Haibing Guan DiffM 127 0 0 30 May 2024
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields Haodi He Jiahui Lei Adam W. Harley Leonidas Guibas 3DV 65 2 0 30 May 2024
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation Xinyang Huang Chuanglu Zhu Kebin Liu Ruiying Ren Shengjie Liu 88 3 0 30 May 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 110 0 0 30 May 2024
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation Junjie Zhang Chenjia Bai Haoran He Wenke Xia Zhigang Wang Bin Zhao Xiu Li Xuelong Li 124 13 0 30 May 2024
IReNe: Instant Recoloring of Neural Radiance Fields Alessio Mazzucchelli Adrian Garcia-Garcia Elena Garces Fernando Rivas-Manzaneque Francesc Moreno-Noguer Adrian Penate-Sanchez 3DH 141 2 0 30 May 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap Zoe Piran Michal Klein James Thornton Marco Cuturi 107 3 0 29 May 2024
DGD: Dynamic 3D Gaussians Distillation Isaac Labe Noam Issachar Itai Lang Sagie Benaim 122 7 0 29 May 2024
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation Niclas Vodisch Kürsat Petek Markus Kappeler Abhinav Valada Wolfram Burgard VLM 80 4 0 29 May 2024
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping Nikhil Gosala Kürsat Petek B. R. Kiran S. Yogamani Paulo L. J. Drews-Jr Wolfram Burgard Abhinav Valada SSL 122 0 0 29 May 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback Jiachen Li Weixi Feng Tsu-Jui Fu Xinyi Wang Sugato Basu Wenhu Chen William Y. Wang VGen 100 34 0 29 May 2024