{"list":"other","total":65,"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":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1801.04381","title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","created":"2018-01-13","cited_by_count":4795},{"id":"2006.05525","title":"Knowledge Distillation: A Survey","created":"2020-06-09","cited_by_count":1603},{"id":"2211.10438","title":"SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models","created":"2022-11-18","cited_by_count":1386},{"id":"2305.11627","title":"LLM-Pruner: On the Structural Pruning of Large Language Models","created":"2023-05-19","cited_by_count":650},{"id":"2110.02178","title":"MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer","created":"2021-10-05","cited_by_count":642},{"id":"2101.03697","title":"RepVGG: Making VGG-style ConvNets Great Again","created":"2021-01-11","cited_by_count":522},{"id":"1708.00786","title":"Structure-measure: A New Way to Evaluate Foreground Maps","created":"2017-08-02","cited_by_count":480},{"id":"2004.02147","title":"BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation","created":"2020-04-05","cited_by_count":294},{"id":"1606.02147","title":"ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation","created":"2016-06-07","cited_by_count":291},{"id":"2206.01191","title":"EfficientFormer: Vision Transformers at MobileNet Speed","created":"2022-06-02","cited_by_count":241},{"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":"1608.01471","title":"UnitBox: An Advanced Object Detection Network","created":"2016-08-04","cited_by_count":205},{"id":"1406.2807","title":"The Secrets of Salient Object Segmentation","created":"2014-06-11","cited_by_count":200},{"id":"1611.04849","title":"Deeply supervised salient object detection with short connections","created":"2016-11-15","cited_by_count":196},{"id":"1503.08663","title":"Visual Saliency Based on Multiscale Deep Features","created":"2015-03-30","cited_by_count":185},{"id":"2104.12099","title":"Visual Saliency Transformer","created":"2021-04-25","cited_by_count":175},{"id":"2108.07009","title":"Pixel Difference Networks for Efficient Edge Detection","created":"2021-08-16","cited_by_count":168},{"id":"1904.09146","title":"Salient Object Detection in the Deep Learning Era: An In-Depth Survey","created":"2019-04-19","cited_by_count":164},{"id":"2206.02680","title":"Separable Self-attention for Mobile Vision Transformers","created":"2022-06-06","cited_by_count":163},{"id":"2006.01791","title":"SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization","created":"2020-06-02","cited_by_count":149},{"id":"1612.02103","title":"Richer Convolutional Features for Edge Detection","created":"2016-12-07","cited_by_count":143},{"id":"2101.07663","title":"Salient Object Detection via Integrity Learning","created":"2021-01-19","cited_by_count":133},{"id":"2303.03667","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks","created":"2023-03-07","cited_by_count":130},{"id":"2303.00566","title":"Structured Pruning for Deep Convolutional Neural Networks: A survey","created":"2023-03-01","cited_by_count":122},{"id":"2206.10589","title":"EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications","created":"2022-06-21","cited_by_count":121},{"id":"2211.16231","title":"Curriculum Temperature for Knowledge Distillation","created":"2022-11-29","cited_by_count":112},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101},{"id":"1411.5878","title":"Salient Object Detection: A Survey","created":"2014-11-18","cited_by_count":98},{"id":"1708.02001","title":"Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection","created":"2017-08-07","cited_by_count":93},{"id":"1811.11431","title":"ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network","created":"2018-11-28","cited_by_count":90},{"id":"2108.03151","title":"Full-Duplex Strategy for Video Object Segmentation","created":"2021-08-06","cited_by_count":78},{"id":"2310.19444","title":"One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation","created":"2023-10-30","cited_by_count":78},{"id":"1909.07061","title":"Motion Guided Attention for Video Salient Object Detection","created":"2019-09-16","cited_by_count":72},{"id":"2012.13093","title":"EDN: Salient Object Detection via Extremely-Downsampled Network","created":"2020-12-24","cited_by_count":64},{"id":"2302.02210","title":"Oscillation-free Quantization for Low-bit Vision Transformers","created":"2023-02-04","cited_by_count":57},{"id":"1908.04051","title":"Semi-Supervised Video Salient Object Detection Using Pseudo-Labels","created":"2019-08-12","cited_by_count":54},{"id":"1811.10495","title":"ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks","created":"2018-11-26","cited_by_count":53},{"id":"1907.11357","title":"DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation","created":"2019-07-26","cited_by_count":45},{"id":"1708.02031","title":"Learning Uncertain Convolutional Features for Accurate Saliency Detection","created":"2017-08-07","cited_by_count":44},{"id":"2107.01779","title":"Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection","created":"2021-07-05","cited_by_count":33},{"id":"1502.06796","title":"Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network","created":"2015-02-24","cited_by_count":31},{"id":"2012.13095","title":"MobileSal: Extremely Efficient RGB-D Salient Object Detection","created":"2020-12-24","cited_by_count":25},{"id":"2306.00396","title":"Lightweight Vision Transformer with Bidirectional Interaction","created":"2023-06-01","cited_by_count":25},{"id":"1611.00135","title":"A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detection","created":"2016-11-01","cited_by_count":19},{"id":"2008.02973","title":"Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection","created":"2020-08-07","cited_by_count":18},{"id":"2109.01980","title":"Deep Saliency Prior for Reducing Visual Distraction","created":"2021-09-05","cited_by_count":17},{"id":"2309.08206","title":"Salient Object Detection in Optical Remote Sensing Images Driven by Transformer","created":"2023-09-15","cited_by_count":17},{"id":"2402.00422","title":"Lightweight Pixel Difference Networks for Efficient Visual Representation Learning","created":"2024-02-01","cited_by_count":17},{"id":"2301.02778","title":"Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment","created":"2023-01-07","cited_by_count":16},{"id":"2007.04242","title":"Dynamic Group Convolution for Accelerating Convolutional Neural Networks","created":"2020-07-08","cited_by_count":15},{"id":"2306.06092","title":"Realistic Saliency Guided Image Enhancement","created":"2023-06-09","cited_by_count":14},{"id":"2110.05185","title":"Dynamic Binary Neural Network by learning channel-wise thresholds","created":"2021-10-08","cited_by_count":13},{"id":"2204.02397","title":"SALISA: Saliency-based Input Sampling for Efficient Video Object Detection","created":"2022-04-05","cited_by_count":12},{"id":"2302.01171","title":"Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt","created":"2023-02-02","cited_by_count":11},{"id":"2209.05924","title":"SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation","created":"2022-09-13","cited_by_count":10},{"id":"2202.06060","title":"Depth-Cooperated Trimodal Network for Video Salient Object Detection","created":"2022-02-12","cited_by_count":9},{"id":"2411.15895","title":"Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos","created":"2024-11-24","cited_by_count":7},{"id":"2206.09564","title":"A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection","created":"2022-06-20","cited_by_count":4},{"id":"2205.15867","title":"Median Pixel Difference Convolutional Network for Robust Face Recognition","created":"2022-05-30","cited_by_count":3},{"id":"2304.06305","title":"Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution","created":"2023-04-13","cited_by_count":3}],"next_cursor":null}