Papers Spatial Token Mixer
“Spatial Token Mixer” 태그가 달린 논문 4편 · 필터 해제
UniNeXt: Exploring A Unified Architecture for Vision Recognition
Vision Transformers have shown great potential in computer vision tasks. Most recent works have focused on elaborating the spatial token mixer for performance gains. However, we observe that a well-designed general archi…
Spatial Token MixerCARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Semantic segmentation has recently achieved notable advances by exploiting "class-level" contextual information during learning. However, these approaches simply concatenate class-level information to pixel features to b…
DecoderRepresentation LearningSemantic SegmentationSpatial Token MixerDemystify Transformers & Convolutions in Modern Image Deep Networks
Vision transformers have gained popularity recently, leading to the development of new vision backbones with improved features and consistent performance gains. However, these advancements are not solely attributable to …
Adversarial RobustnessImage Deep NetworksSpatial Token MixerWaveMix: A Resource-efficient Neural Network for Image Analysis
We propose a novel neural architecture for computer vision -- WaveMix -- that is resource-efficient and yet generalizable and scalable. While using fewer trainable parameters, GPU RAM, and computations, WaveMix networks …
Efficient Neural NetworkGPUImage ClassificationScene Classification+2