{"list":"other","total":96,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"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":"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":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"2005.12872","title":"End-to-End Object Detection with Transformers","created":"2020-05-26","cited_by_count":7414},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"1704.04861","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","created":"2017-04-17","cited_by_count":3845},{"id":"2010.04159","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","created":"2020-10-08","cited_by_count":3422},{"id":"1504.08083","title":"Fast R-CNN","created":"2015-04-30","cited_by_count":2933},{"id":"1606.09282","title":"Learning without Forgetting","created":"2016-06-29","cited_by_count":2496},{"id":"1611.07725","title":"iCaRL: Incremental Classifier and Representation Learning","created":"2016-11-23","cited_by_count":2333},{"id":"1311.2524","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","created":"2013-11-11","cited_by_count":2162},{"id":"1706.08840","title":"Gradient Episodic Memory for Continual Learning","created":"2017-06-26","cited_by_count":1898},{"id":"1807.03888","title":"A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks","created":"2018-07-10","cited_by_count":1485},{"id":"1612.08242","title":"YOLO9000: Better, Faster, Stronger","created":"2016-12-25","cited_by_count":1431},{"id":"2012.15840","title":"Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers","created":"2020-12-31","cited_by_count":1369},{"id":"1706.02690","title":"Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks","created":"2017-06-08","cited_by_count":1328},{"id":"2010.03759","title":"Energy-based Out-of-distribution Detection","created":"2020-10-08","cited_by_count":1299},{"id":"1712.00726","title":"Cascade R-CNN: Delving into High Quality Object Detection","created":"2017-12-03","cited_by_count":1276},{"id":"2112.03857","title":"Grounded Language-Image Pre-training","created":"2021-12-07","cited_by_count":1156},{"id":"1911.09070","title":"EfficientDet: Scalable and Efficient Object Detection","created":"2019-11-20","cited_by_count":1020},{"id":"1812.04606","title":"Deep Anomaly Detection with Outlier Exposure","created":"2018-12-11","cited_by_count":942},{"id":"2104.13921","title":"Open-vocabulary Object Detection via Vision and Language Knowledge Distillation","created":"2021-04-28","cited_by_count":906},{"id":"1511.06335","title":"Unsupervised Deep Embedding for Clustering Analysis","created":"2015-11-19","cited_by_count":767},{"id":"1905.13260","title":"Large Scale Incremental Learning","created":"2019-05-30","cited_by_count":732},{"id":"2201.02605","title":"Detecting Twenty-thousand Classes using Image-level Supervision","created":"2022-01-07","cited_by_count":614},{"id":"2204.06507","title":"Out-of-Distribution Detection with Deep Nearest Neighbors","created":"2022-04-13","cited_by_count":600},{"id":"1807.09536","title":"End-to-End Incremental Learning","created":"2018-07-25","cited_by_count":597},{"id":"1511.06233","title":"Towards Open Set Deep Networks","created":"2015-11-19","cited_by_count":538},{"id":"1905.05055","title":"Object Detection in 20 Years: A Survey","created":"2019-05-13","cited_by_count":531},{"id":"1807.05511","title":"Object Detection with Deep Learning: A Review","created":"2018-07-15","cited_by_count":528},{"id":"2011.10678","title":"Open-Vocabulary Object Detection Using Captions","created":"2020-11-20","cited_by_count":427},{"id":"1809.02165","title":"Deep Learning for Generic Object Detection: A Survey","created":"2018-09-06","cited_by_count":392},{"id":"2203.14940","title":"Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model","created":"2022-03-28","cited_by_count":317},{"id":"1811.08581","title":"Recent Advances in Open Set Recognition: A Survey","created":"2018-11-21","cited_by_count":310},{"id":"2103.02603","title":"Towards Open World Object Detection","created":"2021-03-03","cited_by_count":297},{"id":"2206.05836","title":"GLIPv2: Unifying Localization and Vision-Language Understanding","created":"2022-06-12","cited_by_count":275},{"id":"2211.12860","title":"DETRs with Collaborative Hybrid Assignments Training","created":"2022-11-22","cited_by_count":274},{"id":"2205.09310","title":"Mitigating Neural Network Overconfidence with Logit Normalization","created":"2022-05-19","cited_by_count":252},{"id":"1412.5687","title":"Towards Open World Recognition","created":"2014-12-18","cited_by_count":226},{"id":"2203.11876","title":"Open-Vocabulary DETR with Conditional Matching","created":"2022-03-22","cited_by_count":220},{"id":"1708.06977","title":"Incremental Learning of Object Detectors without Catastrophic Forgetting","created":"2017-08-23","cited_by_count":208},{"id":"2306.15880","title":"Towards Open Vocabulary Learning: A Survey","created":"2023-06-28","cited_by_count":166},{"id":"1707.07418","title":"Generative OpenMax for Multi-Class Open Set Classification","created":"2017-07-24","cited_by_count":157},{"id":"2207.13080","title":"DETRs with Hybrid Matching","created":"2022-07-26","cited_by_count":150},{"id":"2209.15639","title":"F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models","created":"2022-09-30","cited_by_count":150},{"id":"1812.04246","title":"Classification-Reconstruction Learning for Open-Set Recognition","created":"2018-12-11","cited_by_count":146},{"id":"1904.01198","title":"C2AE: Class Conditioned Auto-Encoder for Open-set Recognition","created":"2019-04-02","cited_by_count":142},{"id":"2203.16513","title":"PromptDet: Towards Open-vocabulary Detection using Uncurated Images","created":"2022-03-30","cited_by_count":133},{"id":"2303.13076","title":"CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching","created":"2023-03-23","cited_by_count":133},{"id":"2112.01513","title":"OW-DETR: Open-world Detection Transformer","created":"2021-12-02","cited_by_count":129},{"id":"1710.06677","title":"Dropout Sampling for Robust Object Detection in Open-Set Conditions","created":"2017-10-18","cited_by_count":112},{"id":"1709.08716","title":"DOC: Deep Open Classification of Text Documents","created":"2017-09-25","cited_by_count":109},{"id":"2108.06753","title":"Learning Open-World Object Proposals without Learning to Classify","created":"2021-08-15","cited_by_count":109},{"id":"1704.01920","title":"Encoder Based Lifelong Learning","created":"2017-04-06","cited_by_count":102},{"id":"2003.04668","title":"Incremental Few-Shot Object Detection","created":"2020-03-10","cited_by_count":102},{"id":"2305.07011","title":"Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers","created":"2023-05-11","cited_by_count":91},{"id":"2304.04514","title":"DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment","created":"2023-04-10","cited_by_count":90},{"id":"1805.09300","title":"SNIPER: Efficient Multi-Scale Training","created":"2018-05-23","cited_by_count":88},{"id":"2111.11430","title":"Class-agnostic Object Detection with Multi-modal Transformer","created":"2021-11-22","cited_by_count":85},{"id":"1506.06112","title":"The Extreme Value Machine","created":"2015-06-19","cited_by_count":78},{"id":"2111.09452","title":"Open Vocabulary Object Detection with Pseudo Bounding-Box Labels","created":"2021-11-18","cited_by_count":71},{"id":"2203.03800","title":"Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild","created":"2022-03-08","cited_by_count":70},{"id":"2203.10593","title":"Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation","created":"2022-03-20","cited_by_count":68},{"id":"2003.03901","title":"Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN","created":"2020-03-09","cited_by_count":61},{"id":"1803.03391","title":"Review of Visual Saliency Detection with Comprehensive Information","created":"2018-03-09","cited_by_count":60},{"id":"2003.08798","title":"Incremental Object Detection via Meta-Learning","created":"2020-03-17","cited_by_count":58},{"id":"2212.01424","title":"PROB: Probabilistic Objectness for Open World Object Detection","created":"2022-12-02","cited_by_count":57},{"id":"2306.05493","title":"Multi-Modal Classifiers for Open-Vocabulary Object Detection","created":"2023-06-08","cited_by_count":53},{"id":"2304.08130","title":"A Survey on Few-Shot Class-Incremental Learning","created":"2023-04-17","cited_by_count":48},{"id":"2011.02298","title":"Effective Fusion Factor in FPN for Tiny Object Detection","created":"2020-11-04","cited_by_count":44},{"id":"2301.09506","title":"OvarNet: Towards Open-vocabulary Object Attribute Recognition","created":"2023-01-23","cited_by_count":43},{"id":"1802.04365","title":"Learning a Neural-network-based Representation for Open Set Recognition","created":"2018-02-12","cited_by_count":40},{"id":"2207.11455","title":"UC-OWOD: Unknown-Classified Open World Object Detection","created":"2022-07-23","cited_by_count":40},{"id":"1705.02431","title":"Sparse Representation-based Open Set Recognition","created":"2017-05-06","cited_by_count":36},{"id":"2008.06439","title":"RODEO: Replay for Online Object Detection","created":"2020-08-14","cited_by_count":35},{"id":"2201.00471","title":"Revisiting Open World Object Detection","created":"2022-01-03","cited_by_count":30},{"id":"2310.17109","title":"LP-OVOD: Open-Vocabulary Object Detection by Linear Probing","created":"2023-10-26","cited_by_count":29},{"id":"2301.01970","title":"CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection","created":"2023-01-05","cited_by_count":28},{"id":"1705.08722","title":"Open-Category Classification by Adversarial Sample Generation","created":"2017-05-24","cited_by_count":24},{"id":"2307.08249","title":"Random Boxes Are Open-world Object Detectors","created":"2023-07-17","cited_by_count":24},{"id":"2303.13769","title":"Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects","created":"2023-03-24","cited_by_count":23},{"id":"2208.00446","title":"Out-of-Distribution Detection with Semantic Mismatch under Masking","created":"2022-07-31","cited_by_count":22},{"id":"2009.07506","title":"The 1st Tiny Object Detection Challenge:Methods and Results","created":"2020-09-16","cited_by_count":14},{"id":"2306.15767","title":"Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System","created":"2023-06-27","cited_by_count":14},{"id":"1806.11258","title":"Collective decision for open set recognition","created":"2018-06-29","cited_by_count":10},{"id":"2212.02969","title":"Open World DETR: Transformer based Open World Object Detection","created":"2022-12-06","cited_by_count":10},{"id":"2303.14930","title":"Addressing the Challenges of Open-World Object Detection","created":"2023-03-27","cited_by_count":2},{"id":"2303.11623","title":"Detecting the open-world objects with the help of the Brain","created":"2023-03-21","cited_by_count":1}],"next_cursor":null}