{"total":30,"rows":[{"id":"2111.00772","title":"AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling","created":"2021-11-01","cited_by_count":47,"area":null},{"id":"2101.00440","title":"Refining activation downsampling with SoftPool","created":"2021-01-02","cited_by_count":26,"area":null},{"id":"2207.08734","title":"Temporal Lift Pooling for Continuous Sign Language Recognition","created":"2022-07-18","cited_by_count":26,"area":null},{"id":"2110.04035","title":"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP","created":"2021-10-08","cited_by_count":23,"area":null},{"id":"2102.08606","title":"Centroid Transformers: Learning to Abstract with Attention","created":"2021-02-17","cited_by_count":20,"area":null},{"id":"2211.14782","title":"Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection","created":"2022-11-27","cited_by_count":12,"area":null},{"id":"2209.07659","title":"Self-Attentive Pooling for Efficient Deep Learning","created":"2022-09-16","cited_by_count":9,"area":null},{"id":"2404.07410","title":"Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling","created":"2024-04-11","cited_by_count":6,"area":null},{"id":"2305.09504","title":"Content-Adaptive Downsampling in Convolutional Neural Networks","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2404.02388","title":"CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation","created":"2024-04-03","cited_by_count":4,"area":null},{"id":"2103.09528","title":"Meta-learning of Pooling Layers for Character Recognition","created":"2021-03-17","cited_by_count":3,"area":null},{"id":"2109.06638","title":"Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks","created":"2021-09-13","cited_by_count":3,"area":null},{"id":"2403.07303","title":"Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation","created":"2024-03-12","cited_by_count":3,"area":null},{"id":"2111.00193","title":"M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images","created":"2021-10-30","cited_by_count":2,"area":null},{"id":"2402.02377","title":"NOAH: Learning Pairwise Object Category Attentions for Image Classification","created":"2024-02-04","cited_by_count":2,"area":null},{"id":"2210.10526","title":"Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing","created":"2022-10-19","cited_by_count":1,"area":null},{"id":"2411.11454","title":"Relevance-guided Audio Visual Fusion for Video Saliency Prediction","created":"2024-11-18","cited_by_count":1,"area":null},{"id":"2509.16632","title":"DA-Font: Few-Shot Font Generation via Dual-Attention Hybrid Integration","created":"2025-09-20","cited_by_count":1,"area":null},{"id":"2512.00130","title":"Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2107.11574","title":"Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network","created":"2021-07-24","cited_by_count":0,"area":null},{"id":"2111.14059","title":"NoFADE: Analyzing Diminishing Returns on CO2 Investment","created":"2021-11-28","cited_by_count":0,"area":null},{"id":"2201.11808","title":"LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks","created":"2022-01-27","cited_by_count":0,"area":null},{"id":"2207.05420","title":"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2211.06163","title":"Dual Complementary Dynamic Convolution for Image Recognition","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2302.09411","title":"MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation","created":"2023-02-18","cited_by_count":0,"area":null},{"id":"2308.00947","title":"Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2310.10166","title":"The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2408.02906","title":"Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration","created":"2024-08-06","cited_by_count":0,"area":null},{"id":"2505.18446","title":"Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2602.19412","title":"Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation","created":"2026-02-23","cited_by_count":0,"area":null}],"next_cursor":null}