Papers
Segmenting Moving Objects via an Object-Centric Layered Representation
Junyu Xie, Weidi Xie, Andrew Zisserman
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