Co-occurring keywords · papers mentioning both
Papers
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
AAAI 2026
EagleConv: Bio-inspired Dual-Foveated Convolution for Robust Small Object Detection
UAI 2026
SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity Representation
CVPR 2025
STLight: A Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal Joint Processing
WACV 2025
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
CVPR 2024
InceptionNeXt: When Inception Meets ConvNeXt
CVPR 2024
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
CVPR 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields
WACV 2024
Omni-Kernel Network for Image Restoration
AAAI 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
ICLR 2024
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
ICLR 2023
Convolutional Networks with Oriented 1D Kernels
ICCV 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
EMNLP 2023
DKM: Dense Kernelized Feature Matching for Geometry Estimation
CVPR 2023
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
CVPR 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions
WACV 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
CVPR 2023
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
CVPR 2023
Trap Attention: Monocular Depth Estimation With Manual Traps
CVPR 2023
Understanding the Covariance Structure of Convolutional Filters
ICLR 2023
XiNet: Efficient Neural Networks for tinyML
ICCV 2023
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
ICML 2022
EtinyNet: Extremely Tiny Network for TinyML
AAAI 2022
Focal Modulation Networks
NeurIPS 2022
Learning Features with Parameter-Free Layers
ICLR 2022