Resnet in Resnet: Generalizing Residual Architectures
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Abstract (arXiv)
Residual networks (ResNets) have recently achieved state-of-the-art on challenging computer vision tasks. We introduce Resnet in Resnet (RiR): a deep dual-stream architecture that generalizes ResNets and standard CNNs and is easily implemented with no computational overhead. RiR consistently improves performance over ResNets, outperforms architectures with similar amounts of augmentation on CIFAR-10, and establishes a new state-of-the-art on CIFAR-100.
Key facts. Cited by 110 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Mar 2016.
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Citing papers per year: 2021: 8; 2022: 16; 2023: 19; 2024: 28; 2025: 24; 2026: 15.
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50 newest of 110 All 110 (JSON)
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- 2021Score-Based Generative Classifiers1 Oct 2021
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12 most cited of 103 All 103 (JSON)
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- 2026Enabling 24-hour Agricultural Robotics: Unsupervised Day-to-Night Cross-Modal Image Translation for Nighttime Visual Navigation13 Jul 2026
- 2026Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening for Retinopathy of Prematurity Plus Disease in a Kenyan Preterm Cohort7 Jul 2026
- 2026ParkingTransformer: LLM-Enhanced End-to-End Trajectory Planning for Autonomous Parking12 Jun 2026
- 2026Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics22 Apr 2026
- 2026Causal Transfer in Medical Image Analysis25 Mar 2026
- 2026CFNN: Continued Fraction Neural Network21 Mar 2026
- 2026Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT17 Mar 2026
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- 2026Temporal Difference Learning with Constrained Initial Representations12 Feb 2026
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12 newest of 103 All 103 (JSON)