ECCV 2022

1,645 papers

DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition

Matej Grcić, Petra Bevandic, Siniša Šegvić

Unbiased Manifold Augmentation for Coarse Class Subdivision

Baoming Yan, KE GAO, Bo Gao, Lin Wang, Jiang Yang

VSA: Learning Varied-Size Window Attention in Vision Transformers

Qiming ZHANG, Yufei Xu, Jing Zhang, Dacheng Tao

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

Jayateja Kalla, Soma Biswas

Visual Knowledge Tracing

Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha

FOSTER: Feature Boosting and Compression for Class-Incremental Learning

Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Few-Shot Class-Incremental Learning from an Open-Set Perspective

Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell

Difficulty-Aware Simulator for Open Set Recognition

WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo

Tailoring Self-Supervision for Supervised Learning

WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei

Photo-Realistic Neural Domain Randomization

Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars

Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu

TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs

Shantanu Jaiswal, Basura Fernando, Cheston Tan

Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection

Sanghyun Woo, KwanYong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee

Training Vision Transformers with Only 2040 Images

Yun-Hao Cao, Hao Yu, Jianxin Wu

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers

Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen

Semantic Novelty Detection via Relational Reasoning

Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi

Background-Insensitive Scene Text Recognition with Text Semantic Segmentation

Liang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang

RealPatch: A Statistical Matching Framework for Model Patching with Real Samples

Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto

Tracking by Associating Clips

Sanghyun Woo, KwanYong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization

Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang

VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao

When Active Learning Meets Implicit Semantic Data Augmentation

Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li

Hyperspherical Learning in Multi-Label Classification

Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

Cross-Domain Ensemble Distillation for Domain Generalization

Kyungmoon Lee, Sungyeon Kim, Suha Kwak

Sliced Recursive Transformer

Zhiqiang Shen, Zechun Liu, Eric Xing

Invariant Feature Learning for Generalized Long-Tailed Classification

Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

DICE: Leveraging Sparsification for Out-of-Distribution Detection

Yiyou Sun, Yixuan Li

A Fast Knowledge Distillation Framework for Visual Recognition

Zhiqiang Shen, Eric Xing

Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection

Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition

Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

Discrete-Constrained Regression for Local Counting Models

Haipeng Xiong, Angela Yao

Negative Samples Are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification

Hyungtae Lee, Sungmin Eum, Heesung Kwon

SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification

Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan

Novel Class Discovery without Forgetting

K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai

Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition

Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition

Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi

DeiT III: Revenge of the ViT

Hugo Touvron, Matthieu Cord, Herve Jegou

Three Things Everyone Should Know about Vision Transformers

Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Herve Jegou

ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer

Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao

MaxViT: Multi-axis Vision Transformer

Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen

Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels

Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion

Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong

Data-Free Neural Architecture Search via Recursive Label Calibration

Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng

Out-of-Distribution Detection with Semantic Mismatch under Masking

Yijun Yang, Ruiyuan Gao, Qiang Xu

Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality

Yue Song, Nicu Sebe, Wei Wang

Learning Invariant Visual Representations for Compositional Zero-Shot Learning

Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma

Improving Robustness by Enhancing Weak Subnets

Yong Guo, David Stutz, Bernt Schiele

Registration Based Few-Shot Anomaly Detection

Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling

KVT: k-NN Attention for Boosting Vision Transformers

Pichao WANG, xue wang, Fan Wang, Ming Lin, Shuning Chang

Learning to Detect Every Thing in an Open World

Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko

Learning Hierarchy Aware Features for Reducing Mistake Severity

Ashima Garg, Depanshu Sani, Saket Anand

Out-of-Distribution Detection with Boundary Aware Learning

Sen Pei, Xin Zhang, Bin Fan, GAOFENG MENG

MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing

Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu

Dynamic Metric Learning with Cross-Level Concept Distillation

Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou, Jiwen Lu

Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning

Hualiang Wang, Siming FU, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu

Anti-Retroactive Interference for Lifelong Learning

Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu

Neighborhood Collective Estimation for Noisy Label Identification and Correction

Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu

Locality Guidance for Improving Vision Transformers on Tiny Datasets

Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song

Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification

Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang

DaViT: Dual Attention Vision Transformers

Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification

Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu

Neural Architecture Search for Spiking Neural Networks

Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda

Recurrent Bilinear Optimization for Binary Neural Networks

Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang

Improving Vision Transformers by Revisiting High-Frequency Components

Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li

Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation

Li Gao, Dong Nie, Bo Li, Xiaofeng Ren

Tackling Long-Tailed Category Distribution under Domain Shifts

Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin

Transfer without Forgetting

Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi

Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not

Liangzu Peng, Mahyar Fazlyab, René Vidal

Improving Generalization in Federated Learning by Seeking Flat Minima

Debora Caldarola, Barbara Caputo, Marco Ciccone

A Comparative Study of Graph Matching Algorithms in Computer Vision

Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother

Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method

Dongsheng An, Na Lei, Xianfeng Gu

Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging

Chengshuai Yang, Shiyu Zhang, Xin Yuan

Batch-Efficient EigenDecomposition for Small and Medium Matrices

Yue Song, Nicu Sebe, Wei Wang

Incremental Task Learning with Incremental Rank Updates

Rakib Hyder, Ken Shao, Boyu Hou, Panos Markopoulos, Ashley Prater-Bennette

Learning to Learn with Smooth Regularization

Yuanhao Xiong, Cho-jui Hsieh

Continual Variational Autoencoder Learning via Online Cooperative Memorization

Fei Ye, Adrian G. Bors

Learned Variational Video Color Propagation

Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock

Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning

Hanwei Fan, Jiandong Mu, Wei Zhang

Neural-Sim: Learning to Generate Training Data with NeRF

Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi

Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning

Damien Teney, Maxime Peyrard, Ehsan Abbasnejad

Domain Generalization by Mutual-Information Regularization with Pre-trained Models

Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun

R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang

QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving lq-Norm Optimization Problem

Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models

Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah

Self-Supervised Learning of Visual Graph Matching

Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

Alp Yurtsever, Tolga Birdal, Vladislav Golyanik

An Embedded Feature Whitening Approach to Deep Neural Network Optimization

Hongwei Yong, Lei Zhang

MINER: Multiscale Implicit Neural Representation

Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan

DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training

Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

Learning Where to Look – Generative NAS Is Surprisingly Efficient

Jovita Lukasik, Steffen Jung, Margret Keuper

Controllable Shadow Generation Using Pixel Height Maps

Yichen Sheng, Yifan liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli