Poster "semantic segmentation" Papers
86 papers found • Page 1 of 2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
Jingwei Zhang, Anh Tien Nguyen, Xi Han et al.
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic et al.
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
Wentao Qu, Jing Wang, Yongshun Gong et al.
Auto-Vocabulary Semantic Segmentation
Osman Ülger, Maksymilian Kulicki, Yuki Asano et al.
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?
Yuru Jia, Valerio Marsocci, Ziyang Gong et al.
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
Wen Dong
Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
Junjie Wang, BIN CHEN, Yulin Li et al.
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
Chong Wu, Jiawang Cao, Renjie Xu et al.
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
HAN SUN, Rui Gong, Ismail Nejjar et al.
Exploiting Domain Properties in Language-Driven Domain Generalization for Semantic Segmentation
Seogkyu Jeon, Kibeom Hong, Hyeran Byun
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai, Qianqian Xu, Peisong Wen et al.
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Dong Zhao, Jinlong Li, Shuang Wang et al.
GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
Zhiwei Zhang, Zi Ye, Yibin Wen et al.
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
Yuheng Shi, Minjing Dong, Chang Xu
How Far Are We from True Unlearnability?
Kai Ye, Liangcai Su, Chenxiong Qian
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
Hyewon Park, Hyejin Park, Jueun Ko et al.
IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION
Chuanyang Zheng
Joint Semantic and Rendering Enhancements in 3D Gaussian Modeling with Anisotropic Local Encoding
Jingming He, Chongyi Li, Shiqi Wang et al.
Learning Mask Invariant Mutual Information for Masked Image Modeling
Tao Huang, Yanxiang Ma, Shan You et al.
MobileODE: An Extra Lightweight Network
Le Yu, Jun Wu, Bo Gou et al.
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu et al.
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li, Aming WU, Zihao Zhang et al.
Object-level Correlation for Few-Shot Segmentation
chunlin wen, Yu Zhang, Jie Fan et al.
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
Linlin Yu, Bowen Yang, Tianhao Wang et al.
Progressive Parameter Efficient Transfer Learning for Semantic Segmentation
Nan Zhou, Huiqun Wang, Yaoyan Zheng et al.
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
Jonggwon Park, Byungmu Yoon, Soobum Kim et al.
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
Zixun Wang, Ben Dai
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
Savya Khosla, Sethuraman T V, Barnett Lee et al.
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Yuqi Lin, Hengjia Li, Wenqi Shao et al.
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
Navid Hashemi, Samuel Sasaki, Ipek Oguz et al.
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction
ZaiPeng Duan, Xuzhong Hu, Pei An et al.
Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
Chaehyun Kim, Heeseong Shin, Eunbeen Hong et al.
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens
Qihang Fan, Huaibo Huang, Mingrui Chen et al.
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
Hritam Basak, Zhaozheng Yin
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
Siyu Chen, Ting Han, Changshe Zhang et al.
SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li et al.
TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras
Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
Xiaowen Ma, Zhen-Liang Ni, Xinghao Chen
Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim, SEHYUN HWANG, Suha Kwak et al.
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation
Li Zhang, Youwei Liang, Ruiyi Zhang et al.
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
Xu Zheng, Yuanhuiyi Lyu, jiazhou zhou et al.
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation
Siyu Jiao, hongguang Zhu, Yunchao Wei et al.
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
Zhenliang Ni, Xinghao Chen, Yingjie Zhai et al.
CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings
Cristina Mata, Kanchana N Ranasinghe, Michael S Ryoo
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri, Steffen Jung, Margret Keuper
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs
Jeongkee Lim, Yusung Kim
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time
Chiao-An Yang, Ziwei Liu, Raymond Yeh
Denoising Vision Transformers
Jiawei Yang, Katie Luo, Jiefeng Li et al.