{"list":"other","total":61,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3223},{"id":"1612.01105","title":"Pyramid Scene Parsing Network","created":"2016-12-04","cited_by_count":2479},{"id":"1711.07971","title":"Non-local Neural Networks","created":"2017-11-21","cited_by_count":2293},{"id":"2012.15840","title":"Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers","created":"2020-12-31","cited_by_count":1369},{"id":"1805.04687","title":"BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning","created":"2018-05-12","cited_by_count":1288},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"1809.02983","title":"Dual Attention Network for Scene Segmentation","created":"2018-09-09","cited_by_count":1003},{"id":"1811.11721","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","created":"2018-11-28","cited_by_count":718},{"id":"1901.02446","title":"Panoptic Feature Pyramid Networks","created":"2019-01-08","cited_by_count":645},{"id":"1811.12833","title":"ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation","created":"2018-11-30","cited_by_count":623},{"id":"1802.10349","title":"Learning to Adapt Structured Output Space for Semantic Segmentation","created":"2018-02-28","cited_by_count":584},{"id":"1909.11065","title":"Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation","created":"2019-09-24","cited_by_count":576},{"id":"2004.08955","title":"ResNeSt: Split-Attention Networks","created":"2020-04-19","cited_by_count":445},{"id":"1908.09822","title":"Confidence Regularized Self-Training","created":"2019-08-26","cited_by_count":419},{"id":"1902.07830","title":"Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges","created":"2019-02-21","cited_by_count":314},{"id":"1809.09478","title":"Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation","created":"2018-09-25","cited_by_count":295},{"id":"2101.10979","title":"Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation","created":"2021-01-26","cited_by_count":268},{"id":"1612.02649","title":"FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation","created":"2016-12-08","cited_by_count":243},{"id":"2104.10490","title":"FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras","created":"2021-04-21","cited_by_count":239},{"id":"2003.03773","title":"Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation","created":"2020-03-08","cited_by_count":222},{"id":"1908.07678","title":"Asymmetric Non-local Neural Networks for Semantic Segmentation","created":"2019-08-21","cited_by_count":196},{"id":"1803.06184","title":"The ApolloScape Open Dataset for Autonomous Driving and its Application","created":"2018-03-16","cited_by_count":190},{"id":"1906.03560","title":"Cross-view Semantic Segmentation for Sensing Surroundings","created":"2019-06-09","cited_by_count":174},{"id":"2103.16372","title":"Source-Free Domain Adaptation for Semantic Segmentation","created":"2021-03-30","cited_by_count":168},{"id":"1811.10200","title":"IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments","created":"2018-11-26","cited_by_count":163},{"id":"2006.06668","title":"Disentangled Non-Local Neural Networks","created":"2020-06-11","cited_by_count":132},{"id":"1902.04502","title":"Fast-SCNN: Fast Semantic Segmentation Network","created":"2019-02-12","cited_by_count":125},{"id":"1905.01220","title":"Seamless Scene Segmentation","created":"2019-05-03","cited_by_count":112},{"id":"1707.09465","title":"Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes","created":"2017-07-29","cited_by_count":105},{"id":"1903.12212","title":"All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation","created":"2019-03-26","cited_by_count":104},{"id":"1908.09547","title":"Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach","created":"2019-08-26","cited_by_count":103},{"id":"1903.08469","title":"In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images","created":"2019-03-20","cited_by_count":100},{"id":"2007.02424","title":"Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation","created":"2020-07-05","cited_by_count":70},{"id":"2102.07448","title":"OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving","created":"2021-02-15","cited_by_count":57},{"id":"1907.12849","title":"Orientation-aware Semantic Segmentation on Icosahedron Spheres","created":"2019-07-30","cited_by_count":53},{"id":"1811.10323","title":"Universal Semi-Supervised Semantic Segmentation","created":"2018-11-26","cited_by_count":50},{"id":"2103.05687","title":"Capturing Omni-Range Context for Omnidirectional Segmentation","created":"2021-03-09","cited_by_count":50},{"id":"1801.00708","title":"Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras","created":"2018-01-02","cited_by_count":42},{"id":"2008.08974","title":"ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data","created":"2020-08-20","cited_by_count":42},{"id":"1511.03240","title":"Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer","created":"2015-11-10","cited_by_count":39},{"id":"2003.04010","title":"Context-Aware Domain Adaptation in Semantic Segmentation","created":"2020-03-09","cited_by_count":36},{"id":"2007.03815","title":"Real-time Semantic Segmentation with Fast Attention","created":"2020-07-07","cited_by_count":36},{"id":"2108.06383","title":"DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange","created":"2021-08-13","cited_by_count":36},{"id":"2009.12559","title":"Affinity Space Adaptation for Semantic Segmentation Across Domains","created":"2020-09-26","cited_by_count":31},{"id":"1908.05868","title":"See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion","created":"2019-08-16","cited_by_count":30},{"id":"1909.07721","title":"DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing","created":"2019-09-17","cited_by_count":30},{"id":"2107.03172","title":"Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World","created":"2021-07-07","cited_by_count":30},{"id":"2002.03736","title":"Universal Semantic Segmentation for Fisheye Urban Driving Images","created":"2020-01-31","cited_by_count":25},{"id":"2103.00868","title":"Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning","created":"2021-03-01","cited_by_count":23},{"id":"2007.05490","title":"Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping","created":"2020-07-09","cited_by_count":22},{"id":"2107.00346","title":"MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding","created":"2021-07-01","cited_by_count":22},{"id":"2012.08385","title":"mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets","created":"2020-12-15","cited_by_count":19},{"id":"2012.08939","title":"SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments","created":"2020-11-27","cited_by_count":18},{"id":"1909.00532","title":"Semantic Segmentation of Panoramic Images Using a Synthetic Dataset","created":"2019-09-02","cited_by_count":15},{"id":"2102.10191","title":"Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems","created":"2021-02-19","cited_by_count":14},{"id":"2103.05930","title":"AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing","created":"2021-03-10","cited_by_count":14},{"id":"2106.13974","title":"Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images","created":"2021-06-26","cited_by_count":6}],"next_cursor":null}