Papers
ScaleNet: A Shallow Architecture for Scale Estimation
Axel Barroso-Laguna, Yurun Tian, Krystian Mikolajczyk
Scaling Up Vision-Language Pre-Training for Image Captioning
Xiaowei Hu, Zhe Gan, Jianfeng Wang et al.
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding, Xiangyu Zhang, Jungong Han et al.
Scaling Vision Transformers
Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby et al.
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li et al.
Scanline Homographies for Rolling-Shutter Plane Absolute Pose
Fang Bai, Agniva Sengupta, Adrien Bartoli
ScanQA: 3D Question Answering for Spatial Scene Understanding
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita et al.
Scene Consistency Representation Learning for Video Scene Segmentation
Haoqian Wu, Keyu Chen, Yanan Luo et al.
Scene Graph Expansion for Semantics-Guided Image Outpainting
Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan et al.
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot et al.
SceneSqueezer: Learning To Compress Scene for Camera Relocalization
Luwei Yang, Rakesh Shrestha, Wenbo Li et al.
Scenic: A JAX Library for Computer Vision Research and Beyond
Mostafa Dehghani, Alexey Gritsenko, Anurag Arnab et al.
ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning
Yuxiao Chen, Boris Ivanovic, Marco Pavone
Scribble-Supervised LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Luc Van Gool
SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
Yucheng Hang, Bin Xia, Wenming Yang et al.
Searching the Deployable Convolution Neural Networks for GPUs
Linnan Wang, Chenhan Yu, Satish Salian et al.
SEEG: Semantic Energized Co-Speech Gesture Generation
Yuanzhi Liang, Qianyu Feng, Linchao Zhu et al.
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
Dasol Han, Jaewook Yoo, Dokwan Oh
Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection
Jiang Liu, Alexander Levine, Chun Pong Lau et al.
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation
Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha et al.
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way
Qi Jia, Shuilian Yao, Yu Liu et al.
Selective-Supervised Contrastive Learning With Noisy Labels
Shikun Li, Xiaobo Xia, Shiming Ge et al.
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition
Yang Yang, Chaoyue Wang, Risheng Liu et al.
Self-Distillation From the Last Mini-Batch for Consistency Regularization
Yiqing Shen, Liwu Xu, Yuzhe Yang et al.
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar