Papers
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou et al.
SegViT: Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Zhi Tian, Quan Tang et al.
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak et al.
Selective compression learning of latent representations for variable-rate image compression
Jooyoung Lee, Seyoon Jeong, Munchurl Kim
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric W. Tramel et al.
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon, Cengiz Pehlevan
Self-explaining deep models with logic rule reasoning
Seungeon Lee, Xiting Wang, Sungwon Han et al.
Self-Explaining Deviations for Coordination
Hengyuan Hu, Samuel Sokota, David Wu et al.
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang et al.
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Michael Poli, Winnie Xu, Stefano Massaroli et al.
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Yifan Zhang, Bryan Hooi, Lanqing Hong et al.
Self-supervised Amodal Video Object Segmentation
Jian Yao, Yuxin Hong, Chiyu Wang et al.
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis et al.
Self-Supervised Fair Representation Learning without Demographics
Junyi Chai, Xiaoqian Wang
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang, Ziyu Guan, Zhe Wang et al.
Self-Supervised Image Restoration with Blurry and Noisy Pairs
Zhilu Zhang, RongJian Xu, Ming Liu et al.
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin Thomas, Christopher Ré, Russell Poldrack
Self-Supervised Learning Through Efference Copies
Franz Scherr, Qinghai Guo, Timoleon Moraitis
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu, Zhongdao Wang, Ya-Li Li et al.
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy, Shadi Hamdan, Sercan Arik et al.
Self-Supervised Pretraining for Large-Scale Point Clouds
Zaiwei Zhang, Min Bai, Erran Li Li
Self-supervised surround-view depth estimation with volumetric feature fusion
Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen et al.
Self-Supervised Visual Representation Learning with Semantic Grouping
Xin Wen, Bingchen Zhao, Anlin Zheng et al.
Semantic Diffusion Network for Semantic Segmentation
Haoru Tan, Sitong Wu, Jimin Pi
Semantic Exploration from Language Abstractions and Pretrained Representations
Allison Tam, Neil Rabinowitz, Andrew Lampinen et al.