{"list":"other","total":62,"rows":[{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1603.08155","title":"Perceptual Losses for Real-Time Style Transfer and Super-Resolution","created":"2016-03-27","cited_by_count":2694},{"id":"1905.02249","title":"MixMatch: A Holistic Approach to Semi-Supervised Learning","created":"2019-05-06","cited_by_count":1391},{"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":"2110.08263","title":"FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling","created":"2021-10-15","cited_by_count":540},{"id":"2112.03126","title":"Label-Efficient Semantic Segmentation with Diffusion Models","created":"2021-12-06","cited_by_count":499},{"id":"2106.01226","title":"Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision","created":"2021-06-02","cited_by_count":463},{"id":"1905.04161","title":"Kindling the Darkness: A Practical Low-light Image Enhancer","created":"2019-05-04","cited_by_count":355},{"id":"2106.09018","title":"End-to-End Semi-Supervised Object Detection with Soft Teacher","created":"2021-06-16","cited_by_count":316},{"id":"2101.06329","title":"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning","created":"2021-01-15","cited_by_count":301},{"id":"2104.06490","title":"DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort","created":"2021-04-13","cited_by_count":264},{"id":"1811.11127","title":"Unprocessing Images for Learned Raw Denoising","created":"2018-11-27","cited_by_count":250},{"id":"2303.06705","title":"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement","created":"2023-03-12","cited_by_count":231},{"id":"2203.03884","title":"Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels","created":"2022-03-08","cited_by_count":218},{"id":"2003.07761","title":"CycleISP: Real Image Restoration via Improved Data Synthesis","created":"2020-03-17","cited_by_count":213},{"id":"1707.02880","title":"Deep Bilateral Learning for Real-Time Image Enhancement","created":"2017-07-10","cited_by_count":200},{"id":"2109.05923","title":"Low-Light Image Enhancement with Normalizing Flow","created":"2021-09-13","cited_by_count":185},{"id":"2212.11548","title":"Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method","created":"2022-12-22","cited_by_count":174},{"id":"2009.14468","title":"Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time","created":"2020-09-30","cited_by_count":163},{"id":"2301.10921","title":"SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning","created":"2023-01-26","cited_by_count":133},{"id":"2308.06160","title":"DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models","created":"2023-08-11","cited_by_count":123},{"id":"2308.13164","title":"Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model","created":"2023-08-25","cited_by_count":118},{"id":"2309.14303","title":"Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation","created":"2023-09-25","cited_by_count":112},{"id":"2103.15061","title":"Invertible Image Signal Processing","created":"2021-03-28","cited_by_count":94},{"id":"2310.17577","title":"Global Structure-Aware Diffusion Process for Low-Light Image Enhancement","created":"2023-10-26","cited_by_count":92},{"id":"2205.14871","title":"You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction","created":"2022-05-30","cited_by_count":81},{"id":"2009.10390","title":"Conditional Sequential Modulation for Efficient Global Image Retouching","created":"2020-09-22","cited_by_count":71},{"id":"2407.08939","title":"LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models","created":"2024-07-12","cited_by_count":71},{"id":"2204.13983","title":"AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement","created":"2022-04-29","cited_by_count":70},{"id":"2502.20272","title":"HVI: A New Color Space for Low-light Image Enhancement","created":"2025-02-27","cited_by_count":63},{"id":"2405.03349","title":"Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement","created":"2024-05-06","cited_by_count":59},{"id":"2207.08351","title":"SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement","created":"2022-07-18","cited_by_count":50},{"id":"2207.10276","title":"ProMix: Combating Label Noise via Maximizing Clean Sample Utility","created":"2022-07-21","cited_by_count":48},{"id":"2201.03210","title":"Model-Based Image Signal Processors via Learnable Dictionaries","created":"2022-01-10","cited_by_count":43},{"id":"1908.01481","title":"CameraNet: A Two-Stage Framework for Effective Camera ISP Learning","created":"2019-08-05","cited_by_count":38},{"id":"2111.14358","title":"IDR: Self-Supervised Image Denoising via Iterative Data Refinement","created":"2021-11-29","cited_by_count":36},{"id":"2303.02881","title":"KBNet: Kernel Basis Network for Image Restoration","created":"2023-03-06","cited_by_count":33},{"id":"2006.12709","title":"CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks","created":"2020-06-23","cited_by_count":29},{"id":"2307.08095","title":"Semi-DETR: Semi-Supervised Object Detection with Detection Transformers","created":"2023-07-16","cited_by_count":27},{"id":"2211.01146","title":"DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition","created":"2022-11-02","cited_by_count":23},{"id":"2310.18640","title":"Switching Temporary Teachers for Semi-Supervised Semantic Segmentation","created":"2023-10-28","cited_by_count":23},{"id":"2312.13313","title":"ParamISP: Learned Forward and Inverse ISPs using Camera Parameters","created":"2023-12-20","cited_by_count":23},{"id":"2406.08249","title":"Dataset Enhancement with Instance-Level Augmentations","created":"2024-06-12","cited_by_count":23},{"id":"2408.14802","title":"RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images","created":"2024-08-27","cited_by_count":19},{"id":"2210.16046","title":"Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments","created":"2022-10-28","cited_by_count":18},{"id":"2302.12995","title":"Raw Image Reconstruction with Learned Compact Metadata","created":"2023-02-25","cited_by_count":18},{"id":"2410.22939","title":"AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection","created":"2024-10-30","cited_by_count":18},{"id":"2211.06770","title":"MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning","created":"2022-11-08","cited_by_count":13},{"id":"2404.01819","title":"Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection","created":"2024-04-02","cited_by_count":13},{"id":"2310.17190","title":"Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping","created":"2023-10-26","cited_by_count":12},{"id":"2307.00761","title":"Learning Degradation-Independent Representations for Camera ISP Pipelines","created":"2023-07-03","cited_by_count":11},{"id":"2310.15787","title":"SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning","created":"2023-10-24","cited_by_count":8},{"id":"2411.13150","title":"RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation","created":"2024-11-20","cited_by_count":8},{"id":"2503.03782","title":"ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge","created":"2025-03-04","cited_by_count":8},{"id":"2407.09892","title":"NamedCurves: Learned Image Enhancement via Color Naming","created":"2024-07-13","cited_by_count":7},{"id":"2303.13916","title":"Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection","created":"2023-03-24","cited_by_count":5},{"id":"2308.08137","title":"SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device","created":"2023-08-16","cited_by_count":5},{"id":"2408.16235","title":"LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement","created":"2024-08-29","cited_by_count":4},{"id":"2409.02497","title":"A Learnable Color Correction Matrix for RAW Reconstruction","created":"2024-09-04","cited_by_count":3},{"id":"2403.10091","title":"PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality","created":"2024-03-15","cited_by_count":2}],"next_cursor":null}