{"total":23,"rows":[{"id":"2109.08685","title":"Self-supervised learning methods and applications in medical imaging analysis: A survey","created":"2021-09-17","cited_by_count":77,"area":null},{"id":"2102.02696","title":"Active Boundary Loss for Semantic Segmentation","created":"2021-02-04","cited_by_count":40,"area":null},{"id":"2102.01754","title":"LSSED: a large-scale dataset and benchmark for speech emotion recognition","created":"2021-01-30","cited_by_count":17,"area":null},{"id":"2105.14447","title":"EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network","created":"2021-05-30","cited_by_count":15,"area":null},{"id":"2102.12135","title":"Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing","created":"2021-02-24","cited_by_count":14,"area":null},{"id":"2503.00467","title":"Adaptive Rectangular Convolution for Remote Sensing Pansharpening","created":"2025-03-01","cited_by_count":10,"area":null},{"id":"2106.08382","title":"DMSANet: Dual Multi Scale Attention Network","created":"2021-06-13","cited_by_count":8,"area":null},{"id":"2102.03793","title":"Tilting the playing field: Dynamical loss functions for machine learning","created":"2021-02-07","cited_by_count":7,"area":null},{"id":"2107.06536","title":"Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution","created":"2021-07-14","cited_by_count":6,"area":null},{"id":"2103.04128","title":"Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired","created":"2021-03-06","cited_by_count":5,"area":null},{"id":"2212.01790","title":"Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition","created":"2022-12-04","cited_by_count":1,"area":null},{"id":"2103.11600","title":"PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation","created":"2021-03-22","cited_by_count":0,"area":null},{"id":"2110.02404","title":"3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video","created":"2021-10-05","cited_by_count":0,"area":null},{"id":"2206.06371","title":"Darknet Traffic Classification and Adversarial Attacks","created":"2022-06-12","cited_by_count":0,"area":null},{"id":"2209.10327","title":"SDA-$x$Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation","created":"2022-09-21","cited_by_count":0,"area":null},{"id":"2303.11694","title":"Anchor Free remote sensing detector based on solving discrete polar coordinate equation","created":"2023-03-21","cited_by_count":0,"area":null},{"id":"2304.04540","title":"FreConv: Frequency Branch-and-Integration Convolutional Networks","created":"2023-04-10","cited_by_count":0,"area":null},{"id":"2309.00059","title":"STint: Self-supervised Temporal Interpolation for Geospatial Data","created":"2023-08-31","cited_by_count":0,"area":null},{"id":"2311.01522","title":"An Efficient Detection and Control System for Underwater Docking using Machine Learning and Realistic Simulation: A Comprehensive Approach","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2402.14307","title":"An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes","created":"2024-02-22","cited_by_count":0,"area":null},{"id":"2407.05418","title":"EMBANet: A Flexible Efffcient Multi-branch Attention Network","created":"2024-07-07","cited_by_count":0,"area":null},{"id":"2511.08163","title":"Multi-Granularity Mutual Refinement Network for Zero-Shot Learning","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2603.26356","title":"From Pen to Pixel: Translating Hand-Drawn Plots into Graphical APIs via a Novel Benchmark and Efficient Adapter","created":"2026-03-27","cited_by_count":0,"area":null}],"next_cursor":null}