Techniques

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning ICCV 2023 Scaling Laws For Deep Learning Based Image Reconstruction ICLR 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching WACV 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation Interspeech 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023 SEAT: Stable and Explainable Attention AAAI 2023 Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning CVPR 2023 SegFormer: A Topic Segmentation Model with Controllable Range of Attention AAAI 2023 SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification MIDL 2023 SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage ICCV 2023 Selective Frequency Network for Image Restoration ICLR 2023 Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement AAAI 2023 Self-Calibrated Cross Attention Network for Few-Shot Segmentation ICCV 2023 Self-Distillation for Further Pre-training of Transformers ICLR 2023 Self-Emphasizing Network for Continuous Sign Language Recognition AAAI 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors ICLR 2023 Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023 Self-Feedback DETR for Temporal Action Detection ICCV 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion WACV 2023 Self-Supervised Implicit Glyph Attention for Text Recognition CVPR 2023 Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023 Self-supervised Pre-training for Mirror Detection ICCV 2023