ECCV 2022

1,645 papers

Adaptive Token Sampling for Efficient Vision Transformers

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang

Learning to Weight Samples for Dynamic Early-Exiting Networks

Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song

IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors

Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang

Disentangled Differentiable Network Pruning

Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang

PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators

Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers

Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak

Event Neural Networks

Matthew Dutson, Yin Li, Mohit Gupta

Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance

Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

Tan Wang, Qianru Sun, Sugiri Pranata, Karlekar Jayashree, Hanwang Zhang

SP-Net: Slowly Progressing Dynamic Inference Networks

Huanyu Wang, Wenhu Zhang, Shihao Su, Hui Wang, Zhenwei Miao

Symmetry Regularization and Saturating Nonlinearity for Robust Quantization

Sein Park, Yeongsang Jang, Eunhyeok Park

Streaming Multiscale Deep Equilibrium Models

Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis

"L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training"

Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee

Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu

Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference

Zhongnan Qu, Cong Liu, Lothar Thiele

Prune Your Model before Distill It

Jinhyuk Park, Albert No

Efficient One Pass Self-Distillation with Zipf’s Label Smoothing

Jiajun Liang, Linze Li, Zhaodong Bing, Borui Zhao, Yao Tang

Learning with Recoverable Forgetting

Jingwen Ye, YIFANG FU, Jie Song, Xingyi Yang, Songhua Liu

Fine-Grained Data Distribution Alignment for Post-Training Quantization

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen

Masked Generative Distillation

Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan

Reducing Information Loss for Spiking Neural Networks

Yufei Guo, Yuanpei Chen, Liwen Zhang, Yinglei Wang, Xiaode Liu

Knowledge Condensation Distillation

Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang

"A Simple Approach and Benchmark for 21,000-Category Object Detection"

Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang

Simple Open-Vocabulary Object Detection with Vision Transformers

Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation

Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai

3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization

Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel

Learning with Free Object Segments for Long-Tailed Instance Segmentation

Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu

Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure

Ruoqi Li, Chongyang Zhang, Hao Zhou, Chao Shi, Yan Luo

OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search

Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham

On Label Granularity and Object Localization

Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni

Neural Correspondence Field for Object Pose Estimation

Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, LUAN TRAN

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

Zhi Li, Lu He, Huijuan Xu

Object Detection As Probabilistic Set Prediction

Georg Hess, Christoffer Petersson, Lennart Svensson

Enhancing Multi-modal Features Using Local Self-Attention for 3D Object Detection

Hao Li, Zehan Zhang, Xian Zhao, Yulong Wang, Yuxi Shen

Class-Agnostic Object Detection with Multi-modal Transformer

Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

Danila Rukhovich, Anna Vorontsova, Anton Konushin

GLAMD: Global and Local Attention Mask Distillation for Object Detectors

Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon Woo, Sung-Ho Bae

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry

Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds

Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia

Is Geometry Enough for Matching in Visual Localization?

Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

Mohsen Zand, Ali Etemad, Michael Greenspan

DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection

Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss

Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen, Shan Luo

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting

Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan

ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement

Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang

SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection

Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati

Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations

Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu

3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone

Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang

GTCaR: Graph Transformer for Camera Re-Localization

Xinyi Li, Haibin Ling

RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers

Michał J. Tyszkiewicz, Kevis-kokitsi Maninis, Stefan Popov, Vittorio Ferrari

UC-OWOD: Unknown-Classified Open World Object Detection

Zhiheng Wu, Yue Lu, Xingyu Chen, Zhengxing Wu, Liwen Kang

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

LEI ZHU, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

Camera Pose Auto-Encoders for Improving Pose Regression

Yoli Shavit, Yosi Keller

Towards Accurate Active Camera Localization

Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong

ReAct: Temporal Action Detection with Relational Queries

Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma

Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection

Yu Hong, Hang Dai, Yong Ding

Efficient Decoder-Free Object Detection with Transformers

Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao

Robust Object Detection with Inaccurate Bounding Boxes

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang

PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection

Guangsheng Shi, Ruifeng Li, Chao Ma

Cornerformer: Purifying Instances for Corner-Based Detectors

Haoran Wei, Xin Chen, Lingxi Xie, Qi Tian

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching

Shuai Chen, Xinghui Li, Zirui Wang, Victor Adrian Prisacariu

Polarimetric Pose Prediction

Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki

Densely Constrained Depth Estimator for Monocular 3D Object Detection

Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang

PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images

Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren

Label-Guided Auxiliary Training Improves 3D Object Detector

Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu

Multi-Domain Multi-Definition Landmark Localization for Small Datasets

David Ferman, Gaurav Bharaj

MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

Haotian Bai, Ruimao Zhang, Jiong Wang, Xiang Wan

PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration

Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang

Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection

Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian

TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction

Yang He, Ravi Garg, Amber Roy Chowdhury

Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection

Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang

RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection

Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu

"Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection"

Maoxun Yuan, Yinyan Wang, Xingxing Wei

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features

Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski

Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection

Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang

Unifying Visual Perception by Dispersible Points Learning

Jianming Liang, Guanglu Song, Biao Leng, Yu Liu

Distilling Object Detectors with Global Knowledge

Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing LU, Yunlu Xu

DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation

Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang

Monocular 3D Object Detection with Depth from Motion

Tai WANG, Jiangmiao Pang, Dahua Lin

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

Hongyang Li, Jiehong Lin, Kui Jia

Detecting Twenty-Thousand Classes Using Image-Level Supervision

Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra

You Should Look at All Objects

Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu

Adversarially-Aware Robust Object Detector

Ziyi Dong, Pengxu Wei, Liang Lin

Exploring Plain Vision Transformer Backbones for Object Detection

Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He

SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud

Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang

Calibration-Free Multi-View Crowd Counting

Qi Zhang, Antoni B. Chan

End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution

Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou

INT: Towards Infinite-Frames 3D Detection with an Efficient Framework

Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu

CPO: Change Robust Panorama to Point Cloud Localization

Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B G