2024 "semantic segmentation" Papers

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.

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs

Donghyun Kim, Byeongho Heo, Dongyoon Han

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond

Silvio Galesso, Philipp Schröppel, Hssan Driss et al.

Do text-free diffusion models learn discriminative visual representations?

Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi et al.

EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Junjue Wang, Zhuo Zheng, Zihang Chen 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.

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu 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.

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.

Make RepVGG Greater Again: A Quantization-Aware Approach

Xuesong Nie, Yunfeng Yan, Siyuan 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.

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks

One Step Learning, One Step Review

Huang Xiaolong, Qiankun Li, Xueran Li 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.

SCTNet: Single Branch CNN with Transformer Semantic Information for Real-Time Segmentation

Authors: Zhengze Xu, Dongyue Wu, Changqian Yu 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.

Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning

Kaiyou Song, Shan Zhang, Tong Wang

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Xin Yang, Wending Yan, Yuan Yuan et al.

SeTformer Is What You Need for Vision and Language

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger 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.

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.