{"list":"other","total":60,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"2006.07733","title":"Bootstrap your own latent: A new approach to self-supervised Learning","created":"2020-06-13","cited_by_count":4750},{"id":"1711.00937","title":"Neural Discrete Representation Learning","created":"2017-11-02","cited_by_count":4712},{"id":"2012.09841","title":"Taming Transformers for High-Resolution Image Synthesis","created":"2020-12-17","cited_by_count":3253},{"id":"2108.10257","title":"SwinIR: Image Restoration Using Swin Transformer","created":"2021-08-23","cited_by_count":1887},{"id":"2111.09881","title":"Restormer: Efficient Transformer for High-Resolution Image Restoration","created":"2021-11-18","cited_by_count":1627},{"id":"2104.02057","title":"An Empirical Study of Training Self-Supervised Vision Transformers","created":"2021-04-05","cited_by_count":1616},{"id":"1707.02921","title":"Enhanced Deep Residual Networks for Single Image Super-Resolution","created":"2017-07-10","cited_by_count":1552},{"id":"2005.10242","title":"Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere","created":"2020-05-20","cited_by_count":1405},{"id":"1608.03981","title":"Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising","created":"2016-08-13","cited_by_count":1358},{"id":"1807.02758","title":"Image Super-Resolution Using Very Deep Residual Channel Attention Networks","created":"2018-07-08","cited_by_count":1264},{"id":"2111.09886","title":"SimMIM: A Simple Framework for Masked Image Modeling","created":"2021-11-18","cited_by_count":1153},{"id":"2012.00364","title":"Pre-Trained Image Processing Transformer","created":"2020-12-01","cited_by_count":893},{"id":"2106.03106","title":"Uformer: A General U-Shaped Transformer for Image Restoration","created":"2021-06-06","cited_by_count":866},{"id":"1612.02177","title":"Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring","created":"2016-12-07","cited_by_count":727},{"id":"1808.04560","title":"Deep Retinex Decomposition for Low-Light Enhancement","created":"2018-08-14","cited_by_count":723},{"id":"2204.04676","title":"Simple Baselines for Image Restoration","created":"2022-04-10","cited_by_count":708},{"id":"1712.04143","title":"Benchmarking Single Image Dehazing and Beyond","created":"2017-12-12","cited_by_count":447},{"id":"2205.04437","title":"Activating More Pixels in Image Super-Resolution Transformer","created":"2022-05-09","cited_by_count":438},{"id":"1609.07769","title":"Deep Joint Rain Detection and Removal from a Single Image","created":"2016-09-25","cited_by_count":352},{"id":"2201.02973","title":"MAXIM: Multi-Axis MLP for Image Processing","created":"2022-01-09","cited_by_count":302},{"id":"2105.06086","title":"HINet: Half Instance Normalization Network for Image Restoration","created":"2021-05-13","cited_by_count":237},{"id":"2303.00748","title":"Efficient and Explicit Modelling of Image Hierarchies for Image Restoration","created":"2023-03-01","cited_by_count":145},{"id":"2401.16468","title":"InstructIR: High-Quality Image Restoration Following Human Instructions","created":"2024-01-29","cited_by_count":140},{"id":"2003.13081","title":"Structure-Preserving Super Resolution with Gradient Guidance","created":"2020-03-29","cited_by_count":116},{"id":"2403.14614","title":"AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation","created":"2024-03-21","cited_by_count":111},{"id":"2202.03373","title":"LEDNet: Joint Low-light Enhancement and Deblurring in the Dark","created":"2022-02-07","cited_by_count":96},{"id":"2301.03580","title":"Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling","created":"2023-01-09","cited_by_count":94},{"id":"2407.04621","title":"OneRestore: A Universal Restoration Framework for Composite Degradation","created":"2024-07-05","cited_by_count":92},{"id":"2411.18466","title":"Complexity Experts are Task-Discriminative Learners for Any Image Restoration","created":"2024-11-27","cited_by_count":77},{"id":"2403.11157","title":"Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model","created":"2024-03-17","cited_by_count":73},{"id":"1907.05852","title":"A General Decoupled Learning Framework for Parameterized Image Operators","created":"2019-07-11","cited_by_count":72},{"id":"2112.10175","title":"On Efficient Transformer-Based Image Pre-training for Low-Level Vision","created":"2021-12-19","cited_by_count":64},{"id":"2408.15994","title":"Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration","created":"2024-08-28","cited_by_count":62},{"id":"2411.16061","title":"Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training","created":"2024-11-25","cited_by_count":59},{"id":"2303.13132","title":"Masked Image Training for Generalizable Deep Image Denoising","created":"2023-03-23","cited_by_count":57},{"id":"2312.02918","title":"Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration","created":"2023-12-05","cited_by_count":50},{"id":"2501.13134","title":"UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior","created":"2025-01-22","cited_by_count":42},{"id":"2505.12630","title":"Degradation-Aware Feature Perturbation for All-in-One Image Restoration","created":"2025-05-19","cited_by_count":41},{"id":"2412.01427","title":"FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration","created":"2024-12-02","cited_by_count":39},{"id":"2503.16930","title":"Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks","created":"2025-03-21","cited_by_count":37},{"id":"2501.15510","title":"Universal Image Restoration Pre-training via Degradation Classification","created":"2025-01-26","cited_by_count":35},{"id":"2212.11696","title":"Reversible Column Networks","created":"2022-12-22","cited_by_count":32},{"id":"2503.11073","title":"Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models","created":"2025-03-14","cited_by_count":24},{"id":"2411.01656","title":"Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration","created":"2024-11-03","cited_by_count":21},{"id":"2409.19403","title":"Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration","created":"2024-09-28","cited_by_count":20},{"id":"2405.02843","title":"Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration","created":"2024-05-05","cited_by_count":13},{"id":"2012.10102","title":"Frequency Consistent Adaptation for Real World Super Resolution","created":"2020-12-18","cited_by_count":6},{"id":"2506.05599","title":"UniRes: Universal Image Restoration for Complex Degradations","created":"2025-06-05","cited_by_count":5},{"id":"2506.18520","title":"Enhancing Image Restoration Transformer via Adaptive Translation Equivariance","created":"2025-06-23","cited_by_count":5},{"id":"2309.01005","title":"RevColV2: Exploring Disentangled Representations in Masked Image Modeling","created":"2023-09-02","cited_by_count":4},{"id":"2302.11544","title":"One-Pot Multi-Frame Denoising","created":"2023-02-18","cited_by_count":1}],"next_cursor":null}