{"list":"other","total":71,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2307.09288","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","created":"2023-07-18","cited_by_count":13028},{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585},{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1411.7766","title":"Deep Learning Face Attributes in the Wild","created":"2014-11-28","cited_by_count":3693},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"2012.09841","title":"Taming Transformers for High-Resolution Image Synthesis","created":"2020-12-17","cited_by_count":3253},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"1610.02357","title":"Xception: Deep Learning with Depthwise Separable Convolutions","created":"2016-10-07","cited_by_count":2332},{"id":"1306.0895","title":"Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances","created":"2013-06-04","cited_by_count":2316},{"id":"1908.09635","title":"A Survey on Bias and Fairness in Machine Learning","created":"2019-08-23","cited_by_count":1917},{"id":"2010.01412","title":"Sharpness-Aware Minimization for Efficiently Improving Generalization","created":"2020-10-03","cited_by_count":1417},{"id":"1803.09010","title":"Datasheets for Datasets","created":"2018-03-23","cited_by_count":1386},{"id":"2106.12423","title":"Alias-Free Generative Adversarial Networks","created":"2021-06-23","cited_by_count":1184},{"id":"1901.08971","title":"FaceForensics++: Learning to Detect Manipulated Facial Images","created":"2019-01-25","cited_by_count":1101},{"id":"1906.07413","title":"Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss","created":"2019-06-18","cited_by_count":989},{"id":"1710.08092","title":"VGGFace2: A dataset for recognising faces across pose and age","created":"2017-10-23","cited_by_count":914},{"id":"1906.08172","title":"MediaPipe: A Framework for Building Perception Pipelines","created":"2019-06-14","cited_by_count":583},{"id":"1909.12962","title":"Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics","created":"2019-09-27","cited_by_count":575},{"id":"2007.09355","title":"Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues","created":"2020-07-18","cited_by_count":523},{"id":"2302.10174","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","created":"2023-02-20","cited_by_count":490},{"id":"1411.7923","title":"Learning Face Representation from Scratch","created":"2014-11-28","cited_by_count":453},{"id":"2303.09295","title":"DIRE for Diffusion-Generated Image Detection","created":"2023-03-16","cited_by_count":390},{"id":"1806.08010","title":"Fairness Without Demographics in Repeated Loss Minimization","created":"2018-06-20","cited_by_count":364},{"id":"1810.08750","title":"Learning Models with Uniform Performance via Distributionally Robust Optimization","created":"2018-10-20","cited_by_count":335},{"id":"2211.00680","title":"On the detection of synthetic images generated by diffusion models","created":"2022-11-01","cited_by_count":283},{"id":"2103.12376","title":"Generalizing Face Forgery Detection with High-frequency Features","created":"2021-03-23","cited_by_count":262},{"id":"2001.03024","title":"DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection","created":"2020-01-09","cited_by_count":254},{"id":"2103.01856","title":"Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain","created":"2021-03-02","cited_by_count":244},{"id":"2304.13949","title":"UCF: Uncovering Common Features for Generalizable Deepfake Detection","created":"2023-04-27","cited_by_count":180},{"id":"2010.05893","title":"Large-Scale Methods for Distributionally Robust Optimization","created":"2020-10-12","cited_by_count":179},{"id":"2307.01426","title":"DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection","created":"2023-07-04","cited_by_count":166},{"id":"2312.00195","title":"Raising the Bar of AI-generated Image Detection with CLIP","created":"2023-11-30","cited_by_count":164},{"id":"2108.02818","title":"Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications","created":"2021-08-05","cited_by_count":128},{"id":"2311.11278","title":"Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection","created":"2023-11-19","cited_by_count":127},{"id":"1904.09709","title":"STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing","created":"2019-04-22","cited_by_count":120},{"id":"2304.07060","title":"DCFace: Synthetic Face Generation with Dual Condition Diffusion Model","created":"2023-04-14","cited_by_count":116},{"id":"1901.08665","title":"Fairness risk measures","created":"2019-01-24","cited_by_count":85},{"id":"2104.02821","title":"Towards Measuring Fairness in AI: the Casual Conversations Dataset","created":"2021-04-06","cited_by_count":80},{"id":"2402.00045","title":"Detecting Multimedia Generated by Large AI Models: A Survey","created":"2024-01-22","cited_by_count":76},{"id":"2103.01550","title":"Label-Imbalanced and Group-Sensitive Classification under Overparameterization","created":"2021-03-02","cited_by_count":74},{"id":"2206.02749","title":"CORE: Consistent Representation Learning for Face Forgery Detection","created":"2022-06-06","cited_by_count":74},{"id":"2402.17229","title":"Preserving Fairness Generalization in Deepfake Detection","created":"2024-02-27","cited_by_count":70},{"id":"2304.13023","title":"Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images","created":"2023-04-25","cited_by_count":66},{"id":"2106.07873","title":"Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images","created":"2021-06-15","cited_by_count":58},{"id":"2002.00065","title":"Analysis of Gender Inequality In Face Recognition Accuracy","created":"2020-01-31","cited_by_count":47},{"id":"2205.05467","title":"A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials","created":"2022-05-11","cited_by_count":45},{"id":"2306.16635","title":"Improving Fairness in Deepfake Detection","created":"2023-06-29","cited_by_count":40},{"id":"2101.09781","title":"Fighting deepfakes by detecting GAN DCT anomalies","created":"2021-01-24","cited_by_count":39},{"id":"2309.02218","title":"Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models","created":"2023-09-05","cited_by_count":36},{"id":"2105.00558","title":"An Examination of Fairness of AI Models for Deepfake Detection","created":"2021-05-02","cited_by_count":35},{"id":"2207.02942","title":"Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm","created":"2022-07-06","cited_by_count":35},{"id":"2302.11970","title":"ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection","created":"2023-02-23","cited_by_count":35},{"id":"2102.02320","title":"One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision","created":"2021-02-03","cited_by_count":33},{"id":"2306.09468","title":"FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods","created":"2023-06-15","cited_by_count":33},{"id":"2012.01030","title":"MAAD-Face: A Massively Annotated Attribute Dataset for Face Images","created":"2020-12-02","cited_by_count":32},{"id":"2107.07754","title":"Measuring Fairness in Generative Models","created":"2021-07-16","cited_by_count":31},{"id":"1808.05508","title":"An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification","created":"2018-08-16","cited_by_count":28},{"id":"2109.02167","title":"Robust Attentive Deep Neural Network for Exposing GAN-generated Faces","created":"2021-09-05","cited_by_count":28},{"id":"2206.15437","title":"Understanding Instance-Level Impact of Fairness Constraints","created":"2022-06-30","cited_by_count":27},{"id":"2309.05148","title":"Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color","created":"2023-09-10","cited_by_count":17},{"id":"1911.06396","title":"Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No","created":"2019-11-14","cited_by_count":16},{"id":"2104.14685","title":"Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications","created":"2021-04-29","cited_by_count":16},{"id":"2106.11240","title":"Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics","created":"2021-06-18","cited_by_count":15},{"id":"2203.02115","title":"Towards Benchmarking and Evaluating Deepfake Detection","created":"2022-03-04","cited_by_count":15},{"id":"2208.05845","title":"Analyzing Fairness in Deepfake Detection With Massively Annotated Databases","created":"2022-08-11","cited_by_count":13},{"id":"2209.09111","title":"DeePhy: On Deepfake Phylogeny","created":"2022-09-19","cited_by_count":8}],"next_cursor":null}