receptive field

Adaptive Dynamic Filtering Network for Image Denoising AAAI 2023 ADNet: Lane Shape Prediction via Anchor Decomposition ICCV 2023 Boosting Single Image Super-Resolution via Partial Channel Shifting ICCV 2023 DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection ICLR 2023 Dilated convolution with learnable spacings ICLR 2023 Long Range Pooling for 3D Large-Scale Scene Understanding CVPR 2023 N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution CVPR 2023 Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution ICCV 2023 Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022 DyGRAIN: An Incremental Learning Framework for Dynamic Graphs IJCAI 2022 Dynamic Sparse Network for Time Series Classification: Learning What to “See” NeurIPS 2022 Efficient coding, channel capacity, and the emergence of retinal mosaics NeurIPS 2022 Log-Polar Space Convolution Layers NeurIPS 2022 Multi-Scale Adaptive Network for Single Image Denoising NeurIPS 2022 Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification ICLR 2022 Pooling Revisited: Your Receptive Field Is Suboptimal CVPR 2022 Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs CVPR 2022 Decoupling the Depth and Scope of Graph Neural Networks NeurIPS 2021 Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks CVPR 2021 Global2Local: Efficient Structure Search for Video Action Segmentation CVPR 2021 Inception Convolution With Efficient Dilation Search CVPR 2021 Interpreting Super-Resolution Networks With Local Attribution Maps CVPR 2021 Multi-scale Salient Instance Segmentation based on Encoder-Decoder ACML 2021 Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning CVPR 2021 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification ICML 2021