Papers
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation
Daehyun Ahn, Hyungjun Kim, Taesu Kim et al.
SeCo: Separating Unknown Musical Visual Sounds With Consistency Guidance
Xinchi Zhou, Dongzhan Zhou, Wanli Ouyang et al.
Segmentation-Free Direct Iris Localization Networks
Takahiro Toizumi, Koichi Takahashi, Masato Tsukada
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
Jeonghyun Kim, Kaichun Mo, Minhyuk Sung et al.
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
Aadarsh Sahoo, Rameswar Panda, Rogerio Feris et al.
Self-Attention Message Passing for Contrastive Few-Shot Learning
Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad
Self-Attentive Pooling for Efficient Deep Learning
Fang Chen, Gourav Datta, Souvik Kundu et al.
Self-Distillation for Unsupervised 3D Domain Adaptation
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez et al.
Self-Distilled Self-Supervised Representation Learning
Jiho Jang, Seonhoon Kim, Kiyoon Yoo et al.
Self-Improving Multiplane-To-Layer Images for Novel View Synthesis
Pavel Solovev, Taras Khakhulin, Denis Korzhenkov
Self-Pair: Synthesizing Changes From Single Source for Object Change Detection in Remote Sensing Imagery
Minseok Seo, Hakjin Lee, Yongjin Jeon et al.
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Srikrishna Jaganathan, Maximilian Kukla, Jian Wang et al.
Self-Supervised Clustering Based on Manifold Learning and Graph Convolutional Networks
Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
Self-Supervised Correspondence Estimation via Multiview Registration
Mohamed El Banani, Ignacio Rocco, David Novotny et al.
Self-Supervised Distilled Learning for Multi-Modal Misinformation Identification
Michael Mu, Sreyasee Das Bhattacharjee, Junsong Yuan
Self-Supervised Learning With Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam, Benjamin Lundell, Harpreet Sawhney et al.
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
Sutanu Bera, Prabir Kumar Biswas
Self-Supervised Monocular Depth Estimation From Thermal Images via Adversarial Multi-Spectral Adaptation
Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee et al.
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Xingyu Chen, Ruonan Zhang, Ji Jiang et al.
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang et al.
Self-Supervised Relative Pose With Homography Model-Fitting in the Loop
Bruce R. Muller, William A. P. Smith
Semantic Guided Latent Parts Embedding for Few-Shot Learning
Fengyuan Yang, Ruiping Wang, Xilin Chen
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth
Nitin Bansal, Pan Ji, Junsong Yuan et al.