Poster "semantic segmentation" Papers
98 papers found • Page 2 of 2
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
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn, Christian Rupprecht
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.
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
Donghyun Kim, Byeongho Heo, Dongyoon Han
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Silvio Galesso, Philipp Schröppel, Hssan Driss et al.
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek et al.
Do text-free diffusion models learn discriminative visual representations?
Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi et al.
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels
Yuan Gao, Zilei Wang, Yixin Zhang et al.
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
Tong Shao, Zhuotao Tian, Hang Zhao et al.
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
Sohyun Lee, Namyup Kim, Sungyeon Kim et al.
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Ding Jia, Jianyuan Guo, Kai Han et al.
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning
Pengyu Li, Biao Wang, Tianchu Guo et al.
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis et al.
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Yuanwen Yue, Anurag Das, Francis Engelmann et al.
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song, Tae Soo Kim, Junha Kim et al.
Language-Image Pre-training with Long Captions
Kecheng Zheng, Yifei Zhang, Wei Wu et al.
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
Chang Liu, Giulia Rizzoli, Pietro Zanuttigh et al.
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
Xu Zheng, Yuanhuiyi Lyu, LIN WANG
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
Zhaoyang Li, Yuan Wang, Wangkai Li et al.
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
Shoumeng Qiu, Jie Chen, Xinrun Li et al.
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
Linyan Yang, Lukas Hoyer, Mark Weber et al.
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
Anurag Das, Xinting Hu, Li Jiang et al.
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
Baijiong Lin, Weisen Jiang, Pengguang Chen et al.
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge Aranda, Riccardo Volpi, Puneet Dokania et al.
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
Thibaut Loiseau, Tuan Hung Vu, Mickael Chen et al.
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining
Diwei Su, cheng fei, Jianxu Luo
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
Guiyang Chan, Pengcheng Zhang, Hai Dong et al.
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
Hanrong Ye, Jason Wen Yong Kuen, Qing Liu et al.
Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun et al.
SegPoint: Segment Any Point Cloud via Large Language Model
Shuting He, Henghui Ding, Xudong Jiang et al.
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Minhyun Lee, Song Park, Byeongho Heo et al.
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
Yanbo Wang, Wentao Zhao, Cao Chuan et al.
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM
Mingrui Li, Shuhong Liu, Heng Zhou et al.
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
Sahil Santosh Khose, Anisha Pal, Aayushi Agarwal et al.
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Zhijian Liu, Zhuoyang Zhang, Samir Khaki et al.
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
Jiawei Han, Kaiqi Liu, Wei Li et al.
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
Trainable Highly-expressive Activation Functions
Irit Chelly, Shahaf Finder, Shira Ifergane et al.
VEON: Vocabulary-Enhanced Occupancy Prediction
Jilai Zheng, Pin Tang, Zhongdao Wang et al.
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Xinyu Yang, Hossein Rahmani, Sue Black et al.
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
When Do We Not Need Larger Vision Models?
Baifeng Shi, Ziyang Wu, Maolin Mao et al.