{"list":"other","total":71,"rows":[{"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":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"1506.02640","title":"You Only Look Once: Unified, Real-Time Object Detection","created":"2015-06-08","cited_by_count":4852},{"id":"1705.07750","title":"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset","created":"2017-05-22","cited_by_count":3270},{"id":"1504.08083","title":"Fast R-CNN","created":"2015-04-30","cited_by_count":2933},{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802},{"id":"1902.06162","title":"Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey","created":"2019-02-16","cited_by_count":657},{"id":"2403.14608","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","created":"2024-03-21","cited_by_count":656},{"id":"1801.04264","title":"Real-world Anomaly Detection in Surveillance Videos","created":"2018-01-12","cited_by_count":577},{"id":"2206.06488","title":"Multimodal Learning with Transformers: A Survey","created":"2022-06-13","cited_by_count":400},{"id":"2004.02806","title":"A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects","created":"2020-04-01","cited_by_count":397},{"id":"1712.09867","title":"Future Frame Prediction for Anomaly Detection -- A New Baseline","created":"2017-12-28","cited_by_count":391},{"id":"1811.08581","title":"Recent Advances in Open Set Recognition: A Survey","created":"2018-11-21","cited_by_count":310},{"id":"2003.13228","title":"Learning Memory-guided Normality for Anomaly Detection","created":"2020-03-30","cited_by_count":278},{"id":"1604.04574","title":"Learning Temporal Regularity in Video Sequences","created":"2016-04-15","cited_by_count":254},{"id":"2007.04687","title":"Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision","created":"2020-07-09","cited_by_count":238},{"id":"2101.10030","title":"Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning","created":"2021-01-25","cited_by_count":230},{"id":"1806.11230","title":"Human Action Recognition and Prediction: A Survey","created":"2018-06-28","cited_by_count":227},{"id":"2002.04236","title":"A review on outlier/anomaly detection in time series data","created":"2020-02-11","cited_by_count":189},{"id":"2103.09504","title":"PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning","created":"2021-03-17","cited_by_count":182},{"id":"2012.11866","title":"Human Action Recognition from Various Data Modalities: A Review","created":"2020-12-22","cited_by_count":163},{"id":"2007.02500","title":"Deep Learning for Anomaly Detection: A Review","created":"2020-07-06","cited_by_count":159},{"id":"2011.07491","title":"Anomaly Detection in Video via Self-Supervised and Multi-Task Learning","created":"2020-11-15","cited_by_count":148},{"id":"2104.01633","title":"MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection","created":"2021-04-04","cited_by_count":138},{"id":"2108.06852","title":"A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction","created":"2021-08-16","cited_by_count":129},{"id":"1908.06351","title":"Anomaly Detection in Video Sequence with Appearance-Motion Correspondence","created":"2019-08-17","cited_by_count":118},{"id":"2004.07657","title":"Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm","created":"2020-04-16","cited_by_count":115},{"id":"2004.05214","title":"A Review on Deep Learning Techniques for Video Prediction","created":"2020-04-10","cited_by_count":114},{"id":"1812.04960","title":"Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video","created":"2018-12-11","cited_by_count":111},{"id":"1902.05872","title":"Street Scene: A new dataset and evaluation protocol for video anomaly detection","created":"2019-02-15","cited_by_count":90},{"id":"2004.05993","title":"A Survey of Single-Scene Video Anomaly Detection","created":"2020-04-13","cited_by_count":88},{"id":"2008.12328","title":"A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video","created":"2020-08-27","cited_by_count":86},{"id":"2003.06780","title":"Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection","created":"2020-03-15","cited_by_count":83},{"id":"1708.09644","title":"Abnormal Event Detection in Videos using Generative Adversarial Nets","created":"2017-08-31","cited_by_count":82},{"id":"2008.11988","title":"Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events","created":"2020-08-27","cited_by_count":70},{"id":"2302.05087","title":"Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models","created":"2023-02-10","cited_by_count":59},{"id":"1701.01546","title":"Abnormal Event Detection in Videos using Spatiotemporal Autoencoder","created":"2017-01-06","cited_by_count":57},{"id":"1709.09121","title":"Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge","created":"2017-09-26","cited_by_count":55},{"id":"2209.03299","title":"Multimodal learning with graphs","created":"2022-09-07","cited_by_count":54},{"id":"2307.13929","title":"Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception","created":"2023-07-26","cited_by_count":52},{"id":"1801.03149","title":"An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos","created":"2018-01-09","cited_by_count":45},{"id":"2011.02763","title":"Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction","created":"2020-11-05","cited_by_count":42},{"id":"2305.13611","title":"A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation","created":"2023-05-23","cited_by_count":42},{"id":"2210.06959","title":"A Survey on Explainable Anomaly Detection","created":"2022-10-13","cited_by_count":39},{"id":"2108.08518","title":"Few-shot Segmentation with Optimal Transport Matching and Message Flow","created":"2021-08-19","cited_by_count":36},{"id":"1610.00307","title":"Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection","created":"2016-10-02","cited_by_count":32},{"id":"2107.13720","title":"Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection","created":"2021-07-29","cited_by_count":31},{"id":"1901.08292","title":"Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey","created":"2019-01-24","cited_by_count":30},{"id":"1706.07680","title":"Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds","created":"2017-06-23","cited_by_count":28},{"id":"2403.05023","title":"Towards Multimodal Sentiment Analysis Debiasing via Bias Purification","created":"2024-03-08","cited_by_count":27},{"id":"2207.05500","title":"Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection","created":"2022-07-12","cited_by_count":26},{"id":"2307.12545","title":"Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model","created":"2023-07-24","cited_by_count":25},{"id":"1612.00390","title":"Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks","created":"2016-12-01","cited_by_count":24},{"id":"2205.05173","title":"Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook","created":"2022-05-10","cited_by_count":24},{"id":"2207.08689","title":"Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity","created":"2022-07-15","cited_by_count":24},{"id":"2010.07110","title":"Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate","created":"2020-10-10","cited_by_count":22},{"id":"1805.11223","title":"Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder","created":"2018-05-29","cited_by_count":21},{"id":"1511.06936","title":"Real-Time Anomaly Detection and Localization in Crowded Scenes","created":"2015-11-21","cited_by_count":20},{"id":"2212.07010","title":"Cross-Domain Video Anomaly Detection without Target Domain Adaptation","created":"2022-12-14","cited_by_count":20},{"id":"2308.01537","title":"Learning Causality-inspired Representation Consistency for Video Anomaly Detection","created":"2023-08-03","cited_by_count":17},{"id":"2404.00847","title":"Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline","created":"2024-04-01","cited_by_count":17},{"id":"2403.19539","title":"De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts","created":"2024-03-28","cited_by_count":11},{"id":"2309.07186","title":"LCReg: Long-Tailed Image Classification with Latent Categories based Recognition","created":"2023-09-13","cited_by_count":9},{"id":"2303.13724","title":"Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation","created":"2023-03-24","cited_by_count":8},{"id":"2401.04942","title":"Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics","created":"2024-01-10","cited_by_count":8},{"id":"2208.10761","title":"CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks","created":"2022-08-23","cited_by_count":7},{"id":"2310.04750","title":"DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures","created":"2023-10-07","cited_by_count":6},{"id":"2404.10662","title":"Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay","created":"2024-04-16","cited_by_count":6},{"id":"1708.05211","title":"Energy-based Models for Video Anomaly Detection","created":"2017-08-17","cited_by_count":3},{"id":"2304.02278","title":"SCMM: Calibrating Cross-modal Representations for Text-Based Person Search","created":"2023-04-05","cited_by_count":1}],"next_cursor":null}