Deep Residual Learning for Image Recognition | VitaVision
PaperCVPR 2016 · 2016

Deep Residual Learning for Image Recognition

Kaiming HeXiangyu ZhangShaoqing RenJian Sun
arXiv 1512.03385DOIView in graph
1page built on it
15more pages cite it
6narratives
26registry papers cite it

In the Atlas

ModelPrimary source of
ResNet

Family of very deep CNN image classifiers (18 to 152 layers) built from residual blocks.

Cited as a reference by 15 pages, grouped by domain

Segmentation 5
BiSeNetDeepLabFCN: Fully Convolutional NetworksMask R-CNNMask2Former
Features 4
Convolutional Neural NetworkHRNetLoFTRMobileNetV2
Detection 3
DETRFaster R-CNNFeature Pyramid Network (FPN)
Representation learning 2
MAEViT
Geometry 1
Geometric Bird's-Eye-View Rectification

Appears in 6 narratives

NarrativeDetection, Removing the MachineryNarrativeFoundation Models for VisionNarrativeSegmentation, from Energy to PromptNarrativeThe Geometry Pipeline CollapsesNarrativeVision Under a Latency BudgetNarrativeWhere Did the Inductive Bias Go?

Lineage

Papers in the Atlas registry only · one dot per paper
Built upon by · 26
’12’13’14’15’16’17’18’19’20’21’22’23Feature Pyramid Networks for Object Detection (2017)Focal Loss for Dense Object Detection (2017)MobileNetV2: Inverted Residuals and Linear Bottlenecks (2018)BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation (2018)A Geometric Approach to Obtain a Bird's Eye View From an Image (2019)Momentum Contrast for Unsupervised Visual Representation Learning (2019)Fast-SCNN: Fast Semantic Segmentation Network (2019)Deep High-Resolution Representation Learning for Human Pose Estimation (2019)High-Resolution Representations for Labeling Pixels and Regions (2019)MnasNet: Platform-Aware Neural Architecture Search for Mobile (2019)End-to-End Object Detection with Transformers (2020)A Simple Framework for Contrastive Learning of Visual Representations (2020)Bootstrap your own latent: A new approach to self-supervised Learning (2020)PointRend: Image Segmentation As Rendering (2020)Training data-efficient image transformers & distillation through attention (2020)Deep High-Resolution Representation Learning for Visual Recognition (2020)BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation (2020)Emerging Properties in Self-Supervised Vision Transformers (2021)Per-Pixel Classification is Not All You Need for Semantic Segmentation (2021)Masked Autoencoders Are Scalable Vision Learners (2021)Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021)Learning Transferable Visual Models From Natural Language Supervision (2021)Vision Transformers for Dense Prediction (2021)SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers (2021)Masked-attention Mask Transformer for Universal Image Segmentation (2022)SimpleNet: A Simple Network for Image Anomaly Detection and Localization (2023)ImageNet Classification with Deep Convolutional Neural Networks (2012)Very Deep Convolutional Networks for Large-Scale Image Recognition (2014)Fully Convolutional Networks for Semantic Segmentation (2015)Going deeper with convolutions (2015)