Papers
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos
Remi Chierchia, Leo Lebrat, David Ahmedt-Aristizabal et al.
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
Javier Gamazo Tejero, Moritz J Schmid, Pablo Márquez Neila et al.
SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation
Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak et al.
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness
Anvita Agarwal Srinivas, Tuomas Oikarinen, Divyansh Srivastava et al.
SANPO: A Scene Understanding Accessibility and Human Navigation Dataset
Sagar M. Waghmare, Kimberly Wilber, Dave Hawkey et al.
Scene-LLM: Extending Language Model for 3D Visual Reasoning
Rao Fu, Jingyu Liu, Xilun Chen et al.
SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval
Bhavin Jawade, João V. B. Soares, Kapil Thadani et al.
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
Mevan Ekanayake, Zhifeng Chen, Gary Egan et al.
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision
Pritam P. Karmokar, Quan H. Nguyen, William J. Beksi
SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator Driving Dataset and Benchmark
Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard et al.
Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability
Prajneya Kumar, Eshika Khandelwal, Makarand Tapaswi et al.
SegBuilder: A Semi-Automatic Annotation Tool for Segmentation
Md Alimoor Reza, Eric Manley, Sean Chen et al.
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation
Sachin Verma, Frank Lindseth, Gabriel Kiss
Segment Anything Meets Point Tracking
Frano Rajič, Lei Ke, Yu-Wing Tai et al.
Self-Aligning Depth-Regularized Radiance Fields for Asynchronous RGB-D Sequences
Yuxin Huang, Andong Yang, Yuantao Chen et al.
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
Shumpei Takezaki, Kiyohito Tanaka, Seiichi Uchida
Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet
Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra et al.
Self-Supervised Incremental Learning of Object Representations from Arbitrary Image Sets
George Leotescu, Alin-Ionut Popa, Diana-Nicoleta N Grigore et al.
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee, Sojung An, Sujeong You et al.
Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction
Zijun He, Lishun Wang, Ziyi Meng et al.
Self-Supervised Pre-Training with Diffusion Model for Few-Shot Landmark Detection in X-Ray Images
Roberto Di Via, Francesca Odone, Vito Paolo Pastore
Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios
Vittorio Pipoli, Federico Bolelli, Sara Sarto et al.
Semantic Clustering of Image Retrieval Databases used for Visual Localization
Henry Hölzemann, Torsten Fiolka
Semantic Prompting with Image Token for Continual Learning
Jisu Han, Jaemin Na, Wonjun Hwang