Papers
23,522 papers found
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu et al.
Deep Segment Model for Acoustic Scene Classification
Yajian Wang, Jun Du, Hang Chen et al.
Segment Anything, From Space?
Simiao Ren, Francesco Luzi, Saad Lahrichi et al.
Segment Anything Meets Point Tracking
Frano Rajič, Lei Ke, Yu-Wing Tai et al.
Segment Anything Across Shots: A Method and Benchmark
Hengrui Hu, Kaining Ying, Henghui Ding
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
Huihui Xu, Jin Ye, Hongqiu Wang et al.
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
Lianghui Zhu, Bin Ouyang, Yuxuan Zhang et al.
X-SAM: From Segment Anything to Any Segmentation
Hao Wang, Limeng Qiao, Zequn Jie et al.
Light Multi-Segment Activation for Model Compression
Zhenhui Xu, Guolin Ke, Jia Zhang et al.
Segment and Caption Anything
Xiaoke Huang, Jianfeng Wang, Yansong Tang et al.
E-SAM: Training-Free Segment Every Entity Model
Weiming Zhang, Dingwen Xiao, Lei Chen et al.
A Joint Model for Document Segmentation and Segment Labeling
Joe Barrow, Rajiv Jain, Vlad Morariu et al.
SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining
Mingjin Zhang, Xiaolong Li, Fei Gao et al.
Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Haitao Tian, Pierre Payeur
MagicPaint: Operate Anything for Image Inpainting with Diffusion Model
Qinhong Yang, Dongdong Chen, Qi Chu et al.
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji, Dazhou Guo, Puyang Wang et al.
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
Long Le, Jason Xie, William Liang et al.
Model-assisted Lexical Tone Evaluation of three-year-old Chinese-speaking Children by also Considering Segment Production
Shu-Chuan Tseng, Yi-Fen Liu, Xiang-Li Lu
Modeling Human Motion Using Binary Latent Variables
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn, Eric P. Xing
Modeling Dyadic Data with Binary Latent Factors
Edward Meeds, Zoubin Ghahramani, Radford M. Neal et al.
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina et al.
Bayesian Model Scoring in Markov Random Fields
Sridevi Parise, Max Welling
Active learning for misspecified generalized linear models
Francis R. Bach
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu, Eero P. Simoncelli