{"list":"other","total":54,"rows":[{"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":"2106.09685","title":"LoRA: Low-Rank Adaptation of Large Language Models","created":"2021-06-17","cited_by_count":14380},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"1608.06993","title":"Densely Connected Convolutional Networks","created":"2016-08-25","cited_by_count":6720},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"id":"1902.00751","title":"Parameter-Efficient Transfer Learning for NLP","created":"2019-02-02","cited_by_count":4236},{"id":"1606.08415","title":"Gaussian Error Linear Units (GELUs)","created":"2016-06-27","cited_by_count":3502},{"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":"2103.13413","title":"Vision Transformers for Dense Prediction","created":"2021-03-24","cited_by_count":1803},{"id":"2102.04306","title":"TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation","created":"2021-02-08","cited_by_count":1558},{"id":"1807.10165","title":"UNet++: A Nested U-Net Architecture for Medical Image Segmentation","created":"2018-07-18","cited_by_count":1525},{"id":"2012.15840","title":"Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers","created":"2020-12-31","cited_by_count":1369},{"id":"2005.09007","title":"U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection","created":"2020-05-18","cited_by_count":412},{"id":"1805.10421","title":"Enhanced-alignment Measure for Binary Foreground Map Evaluation","created":"2018-05-26","cited_by_count":370},{"id":"2304.13785","title":"Customized Segment Anything Model for Medical Image Segmentation","created":"2023-04-26","cited_by_count":280},{"id":"1908.08297","title":"EGNet:Edge Guidance Network for Salient Object Detection","created":"2019-08-22","cited_by_count":237},{"id":"1904.09569","title":"A Simple Pooling-Based Design for Real-Time Salient Object Detection","created":"2019-04-21","cited_by_count":212},{"id":"2007.09062","title":"Multi-scale Interactive Network for Salient Object Detection","created":"2020-07-17","cited_by_count":212},{"id":"2103.04011","title":"Simultaneously Localize, Segment and Rank the Camouflaged Objects","created":"2021-03-06","cited_by_count":198},{"id":"2306.16269","title":"RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model","created":"2023-06-28","cited_by_count":181},{"id":"2104.12099","title":"Visual Saliency Transformer","created":"2021-04-25","cited_by_count":175},{"id":"2104.10475","title":"Camouflaged Object Segmentation with Distraction Mining","created":"2021-04-21","cited_by_count":151},{"id":"2203.02688","title":"Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection","created":"2022-03-05","cited_by_count":145},{"id":"1907.06781","title":"Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks","created":"2019-07-15","cited_by_count":133},{"id":"1903.00179","title":"Pyramid Feature Attention Network for Saliency detection","created":"2019-03-01","cited_by_count":128},{"id":"2008.11048","title":"Label Decoupling Framework for Salient Object Detection","created":"2020-08-25","cited_by_count":111},{"id":"2004.05763","title":"UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders","created":"2020-04-13","cited_by_count":98},{"id":"2105.12555","title":"Context-aware Cross-level Fusion Network for Camouflaged Object Detection","created":"2021-05-26","cited_by_count":86},{"id":"2004.08515","title":"JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection","created":"2020-04-18","cited_by_count":79},{"id":"2108.08162","title":"Specificity-preserving RGB-D Saliency Detection","created":"2021-08-18","cited_by_count":70},{"id":"2007.06811","title":"A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection","created":"2020-07-14","cited_by_count":67},{"id":"2002.01155","title":"Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception","created":"2020-02-04","cited_by_count":53},{"id":"1607.03333","title":"RGBD Salient Object Detection via Deep Fusion","created":"2016-07-12","cited_by_count":46},{"id":"2108.03990","title":"TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network","created":"2021-08-09","cited_by_count":45},{"id":"2212.00990","title":"Feature Aggregation and Propagation Network for Camouflaged Object Detection","created":"2022-12-02","cited_by_count":40},{"id":"2306.02245","title":"SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model","created":"2023-06-04","cited_by_count":40},{"id":"2010.05537","title":"Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection","created":"2020-10-12","cited_by_count":38},{"id":"1911.05942","title":"Progressive Feature Polishing Network for Salient Object Detection","created":"2019-11-14","cited_by_count":34},{"id":"2108.01971","title":"Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection","created":"2021-08-04","cited_by_count":34},{"id":"2112.01732","title":"MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection","created":"2021-12-03","cited_by_count":27},{"id":"2306.11730","title":"Segment Anything Model (SAM) for Radiation Oncology","created":"2023-06-20","cited_by_count":24},{"id":"2006.00269","title":"Is Depth Really Necessary for Salient Object Detection?","created":"2020-05-30","cited_by_count":23},{"id":"2011.06252","title":"SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots","created":"2020-11-12","cited_by_count":20},{"id":"2104.01928","title":"Few-Cost Salient Object Detection with Adversarial-Paced Learning","created":"2021-04-05","cited_by_count":17},{"id":"1804.07836","title":"ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation","created":"2018-04-20","cited_by_count":15},{"id":"2104.01784","title":"BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection","created":"2021-04-05","cited_by_count":15},{"id":"2101.02412","title":"Progressive Self-Guided Loss for Salient Object Detection","created":"2021-01-07","cited_by_count":14},{"id":"2306.13290","title":"Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions","created":"2023-06-23","cited_by_count":14},{"id":"2306.15870","title":"Let Segment Anything Help Image Dehaze","created":"2023-06-28","cited_by_count":13},{"id":"2310.14214","title":"TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images","created":"2023-10-22","cited_by_count":13},{"id":"2306.10286","title":"Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement","created":"2023-06-17","cited_by_count":8},{"id":"2308.04218","title":"AquaSAM: Underwater Image Foreground Segmentation","created":"2023-08-08","cited_by_count":5}],"next_cursor":null}