Methods › Computer Vision › Image Model Blocks › Residual Block
Residual Block
Introduced by Kaiming He et al. in Deep Residual Learning for Image Recognition
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Residual Blocks are skip-connection blocks that learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. They were introduced as part of the ResNet architecture.
Formally, denoting the desired underlying mapping as ℋ(x), we let the stacked nonlinear layers fit another mapping of ℱ(x):=ℋ(x)-x. The original mapping is recast into ℱ(x)+x. The ℱ(x) acts like a residual, hence the name 'residual block'.
The intuition is that it is easier to optimize the residual mapping than to optimize the original, unreferenced mapping. To the extreme, if an identity mapping were optimal, it would be easier to push the residual to zero than to fit an identity mapping by a stack of nonlinear layers. Having skip connections allows the network to more easily learn identity-like mappings.
Note that in practice, Bottleneck Residual Blocks are used for deeper ResNets, such as ResNet-50 and ResNet-101, as these bottleneck blocks are less computationally intensive.
Papers archive 2025-07-28
30 shown of 2,807, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorization 21 Jun 2025 · 0 repositories · arXiv:2506.17540
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SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding 9 Jun 2025 · 0 repositories · arXiv:2506.07737
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Low-Complexity Transform Adjustments For Video Coding 29 May 2025 · 0 repositories · arXiv:2505.23618
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Calibrated Value-Aware Model Learning with Stochastic Environment Models 28 May 2025 · 0 repositories · arXiv:2505.22772
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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels 28 May 2025 · 0 repositories · arXiv:2505.22568
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Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing 27 May 2025 · 0 repositories · arXiv:2505.20746
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Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes 23 May 2025 · 0 repositories · arXiv:2505.17484
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3D Reconstruction from Sketches 20 May 2025 · 0 repositories · arXiv:2505.14621
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Towards Generating Realistic Underwater Images 20 May 2025 · 0 repositories · arXiv:2505.14296
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Super-Resolution Generative Adversarial Networks based Video Enhancement 14 May 2025 · 0 repositories · arXiv:2505.10589
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A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images 13 May 2025 · 0 repositories · arXiv:2505.08517
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Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers 11 May 2025 · 0 repositories · arXiv:2505.07036
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MRI motion correction via efficient residual-guided denoising diffusion probabilistic models 6 May 2025 · 0 repositories · arXiv:2505.03498
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Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks 6 May 2025 · 0 repositories · arXiv:2505.03522
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Revolutionizing Brain Tumor Imaging: Generating Synthetic 3D FA Maps from T1-Weighted MRI using CycleGAN Models 6 May 2025 · 0 repositories · arXiv:2505.03662
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Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer 5 May 2025 · 0 repositories · arXiv:2505.03018
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ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery 28 Apr 2025 · 0 repositories · arXiv:2504.19684
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Mitigating Timbre Leakage with Universal Semantic Mapping Residual Block for Voice Conversion 11 Apr 2025 · 0 repositories · arXiv:2504.08524
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Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches 28 Mar 2025 · 0 repositories · arXiv:2503.22120
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Tune It Up: Music Genre Transfer and Prediction 27 Mar 2025 · 1 repository · arXiv:2503.22008
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Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal 20 Mar 2025 · 1 repository · arXiv:2503.16165
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Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training 19 Mar 2025 · 1 repository · arXiv:2503.15017
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AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network 18 Mar 2025 · 0 repositories · arXiv:2503.14209
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Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin 18 Mar 2025 · 0 repositories · arXiv:2503.15555
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CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy 14 Mar 2025 · 0 repositories · arXiv:2503.11266
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Feature Fusion Attention Network with CycleGAN for Image Dehazing, De-Snowing and De-Raining 8 Mar 2025 · 0 repositories · arXiv:2503.06107
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Generalizable Image Repair for Robust Visual Autonomous Racing 7 Mar 2025 · 1 repository · arXiv:2503.05911
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting 3 Mar 2025 · 1 repository · arXiv:2503.01576
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Cross Modality Medical Image Synthesis for Improving Liver Segmentation 2 Mar 2025 · 0 repositories · arXiv:2503.00945
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Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy 1 Mar 2025 · 0 repositories · arXiv:2503.00665
Tasks archive 2025-07-28
20 shown of 922 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Classification | 361 |
| image-classification | 265 |
| Semantic Segmentation | 228 |
| Object Detection | 202 |
| General Classification | 182 |
| object-detection | 169 |
| Classification | 147 |
| Segmentation | 146 |
| Transfer Learning | 139 |
| Data Augmentation | 135 |
| Translation | 127 |
| Self-Supervised Learning | 126 |
| Representation Learning | 124 |
| Contrastive Learning | 123 |
| Image Generation | 121 |
| Image-to-Image Translation | 100 |
| Object | 87 |
| Generative Adversarial Network | 84 |
| Super-Resolution | 83 |
| Deep Learning | 80 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections