{"list":"other","total":69,"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":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1705.07750","title":"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset","created":"2017-05-22","cited_by_count":3270},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3241},{"id":"2003.12039","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","created":"2020-03-26","cited_by_count":2415},{"id":"1506.02025","title":"Spatial Transformer Networks","created":"2015-06-05","cited_by_count":1429},{"id":"1709.02371","title":"PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume","created":"2017-09-07","cited_by_count":968},{"id":"1704.00675","title":"The 2017 DAVIS Challenge on Video Object Segmentation","created":"2017-04-03","cited_by_count":957},{"id":"2011.14503","title":"End-to-End Video Instance Segmentation with Transformers","created":"2020-11-30","cited_by_count":443},{"id":"1904.00607","title":"Video Object Segmentation using Space-Time Memory Networks","created":"2019-04-01","cited_by_count":438},{"id":"2101.11605","title":"Bottleneck Transformers for Visual Recognition","created":"2021-01-27","cited_by_count":364},{"id":"1611.05198","title":"One-Shot Video Object Segmentation","created":"2016-11-16","cited_by_count":235},{"id":"1809.00461","title":"YouTube-VOS: Sequence-to-Sequence Video Object Segmentation","created":"2018-09-03","cited_by_count":232},{"id":"1611.05594","title":"SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning","created":"2016-11-17","cited_by_count":219},{"id":"2012.07810","title":"Real-Time High-Resolution Background Matting","created":"2020-12-14","cited_by_count":173},{"id":"1511.03339","title":"Attention to Scale: Scale-aware Semantic Image Segmentation","created":"2015-11-10","cited_by_count":169},{"id":"2102.01558","title":"Occluded Video Instance Segmentation: A Benchmark","created":"2021-02-02","cited_by_count":154},{"id":"2003.08333","title":"Collaborative Video Object Segmentation by Foreground-Background Integration","created":"2020-03-18","cited_by_count":142},{"id":"2001.06810","title":"See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks","created":"2020-01-19","cited_by_count":138},{"id":"1905.00561","title":"Large-scale weakly-supervised pre-training for video action recognition","created":"2019-05-02","cited_by_count":130},{"id":"2003.08429","title":"STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos","created":"2020-03-18","cited_by_count":121},{"id":"2007.07020","title":"Video Object Segmentation with Episodic Graph Memory Networks","created":"2020-07-14","cited_by_count":118},{"id":"2101.08833","title":"SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation","created":"2021-01-21","cited_by_count":106},{"id":"2103.14581","title":"Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation","created":"2021-03-26","cited_by_count":95},{"id":"1709.06750","title":"SegFlow: Joint Learning for Video Object Segmentation and Optical Flow","created":"2017-09-20","cited_by_count":92},{"id":"1903.05612","title":"RVOS: End-to-End Recurrent Network for Video Object Segmentation","created":"2019-03-13","cited_by_count":88},{"id":"2001.06807","title":"Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks","created":"2020-01-19","cited_by_count":84},{"id":"2103.13029","title":"Jo-SRC: A Contrastive Approach for Combating Noisy Labels","created":"2021-03-24","cited_by_count":80},{"id":"2108.03151","title":"Full-Duplex Strategy for Video Object Segmentation","created":"2021-08-06","cited_by_count":78},{"id":"1701.05384","title":"FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos","created":"2017-01-19","cited_by_count":77},{"id":"2003.00908","title":"Learning Fast and Robust Target Models for Video Object Segmentation","created":"2020-02-27","cited_by_count":76},{"id":"2103.13746","title":"Video Instance Segmentation with a Propose-Reduce Paradigm","created":"2021-03-25","cited_by_count":74},{"id":"2102.04604","title":"SwiftNet: Real-time Video Object Segmentation","created":"2021-02-09","cited_by_count":67},{"id":"1704.05737","title":"Learning Video Object Segmentation with Visual Memory","created":"2017-04-19","cited_by_count":66},{"id":"2003.04253","title":"Motion-Attentive Transition for Zero-Shot Video Object Segmentation","created":"2020-03-09","cited_by_count":62},{"id":"1908.06647","title":"RANet: Ranking Attention Network for Fast Video Object Segmentation","created":"2019-08-19","cited_by_count":60},{"id":"2008.11516","title":"Making a Case for 3D Convolutions for Object Segmentation in Videos","created":"2020-08-26","cited_by_count":56},{"id":"2003.00482","title":"State-Aware Tracker for Real-Time Video Object Segmentation","created":"2020-03-01","cited_by_count":54},{"id":"1804.00775","title":"Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering","created":"2018-04-03","cited_by_count":51},{"id":"1910.10895","title":"Anchor Diffusion for Unsupervised Video Object Segmentation","created":"2019-10-24","cited_by_count":50},{"id":"1909.11519","title":"Gated Channel Transformation for Visual Recognition","created":"2019-09-25","cited_by_count":43},{"id":"2003.05020","title":"Learning Video Object Segmentation from Unlabeled Videos","created":"2020-03-10","cited_by_count":42},{"id":"2101.00910","title":"Global2Local: Efficient Structure Search for Video Action Segmentation","created":"2021-01-04","cited_by_count":42},{"id":"2104.11208","title":"Deep Video Matting via Spatio-Temporal Alignment and Aggregation","created":"2021-04-22","cited_by_count":41},{"id":"1712.01127","title":"Learning to Segment Moving Objects","created":"2017-12-01","cited_by_count":39},{"id":"2207.08485","title":"Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation","created":"2022-07-18","cited_by_count":37},{"id":"2008.01270","title":"Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation","created":"2020-08-04","cited_by_count":36},{"id":"2209.03138","title":"Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation","created":"2022-09-04","cited_by_count":35},{"id":"2001.05425","title":"UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking","created":"2020-01-15","cited_by_count":34},{"id":"1909.07957","title":"An Internal Learning Approach to Video Inpainting","created":"2019-09-17","cited_by_count":33},{"id":"2012.02534","title":"F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation","created":"2020-12-04","cited_by_count":32},{"id":"2108.02399","title":"Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach","created":"2021-08-05","cited_by_count":32},{"id":"2209.03712","title":"Unsupervised Video Object Segmentation via Prototype Memory Network","created":"2022-09-08","cited_by_count":30},{"id":"1810.07733","title":"Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting","created":"2018-10-17","cited_by_count":27},{"id":"2112.12402","title":"Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier","created":"2021-12-23","cited_by_count":27},{"id":"1909.12471","title":"DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation","created":"2019-09-27","cited_by_count":26},{"id":"1611.07156","title":"Exploiting Web Images for Dataset Construction: A Domain Robust Approach","created":"2016-11-22","cited_by_count":22},{"id":"1909.13258","title":"EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency","created":"2019-09-29","cited_by_count":22},{"id":"2301.08160","title":"FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network","created":"2023-01-19","cited_by_count":22},{"id":"2104.10386","title":"Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps","created":"2021-04-21","cited_by_count":21},{"id":"2111.07774","title":"D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos","created":"2021-11-15","cited_by_count":20},{"id":"1801.00908","title":"Instance Embedding Transfer to Unsupervised Video Object Segmentation","created":"2018-01-03","cited_by_count":19},{"id":"2206.09554","title":"Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation","created":"2022-06-20","cited_by_count":19},{"id":"2102.10935","title":"Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation","created":"2021-02-22","cited_by_count":15},{"id":"2111.02368","title":"Video Salient Object Detection via Contrastive Features and Attention Modules","created":"2021-11-03","cited_by_count":13},{"id":"2108.12845","title":"Flow-Guided Video Inpainting with Scene Templates","created":"2021-08-29","cited_by_count":12},{"id":"2005.13039","title":"ALBA : Reinforcement Learning for Video Object Segmentation","created":"2020-05-26","cited_by_count":9}],"next_cursor":null}