Papers
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner et al.
SADA: Semantic Adversarial Unsupervised Domain Adaptation for Temporal Action Localization
David Pujol-Perich, Albert Clapés, Sergio Escalera
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.