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1512.03385
Cited By
Deep Residual Learning for Image Recognition
10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
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Papers citing
"Deep Residual Learning for Image Recognition"
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Title
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Robust super-resolution depth imaging via a multi-feature fusion deep network
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Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
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Y. Zhang
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Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
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Jaekyum Kim
Younji Shin
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Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
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Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
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Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
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Qi Tian
SSL
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Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel
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Niels Samwel
Léo Weissbart
Zhengyu Zhao
Dirk Lauret
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Martha Larson
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TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos
M. Ribeiro
Jennifer Sanger
Jingxuan Zhang
Aciel Eshky
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Korin Richmond
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Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
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Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
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End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study
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Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
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Jie Li
Qiangqiang Yuan
Huanfeng Shen
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Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
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Liping Hou
Yue Zhou
Wentao Wang
Junchi Yan
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Deep Multi-view Depth Estimation with Predicted Uncertainty
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Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff
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Contextual Fusion For Adversarial Robustness
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Gradient Starvation: A Learning Proclivity in Neural Networks
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EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
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End-to-End Object Detection with Adaptive Clustering Transformer
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TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
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Jiale Cao
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Positive-Congruent Training: Towards Regression-Free Model Updates
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Yuanjun Xiong
Kaustav Kundu
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RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
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Geun-Sik Jo
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Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
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Konda Reddy Mopuri
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Layer-Wise Data-Free CNN Compression
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A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
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Shuaiwen Leon Song
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Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
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Yin Li
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Modeling Fashion Influence from Photos
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Kristen Grauman
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Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
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Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
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Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
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Design Space for Graph Neural Networks
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Facial Expressions as a Vulnerability in Face Recognition
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Exploring Energy-Accuracy Tradeoffs in AI Hardware
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Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
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Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
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Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
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Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
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Lingxi Xie
Jianzhong He
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Wen-gang Zhou
Houqiang Li
Qi Tian
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Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
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Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
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Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
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DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
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Jun Guo
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Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
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Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
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Zihao Zhang
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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
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