Poster "image segmentation" Papers
52 papers found • Page 1 of 2
Conference
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision
Ömer Veysel Çağatan, Ömer TAL, M. Emre Gursoy
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Lingfeng Wang, Hualing Lin, Senda Chen et al.
Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
Tianyu Zou, Shengwu Xiong, Ruilin Yao et al.
Boltzmann Attention Sampling for Image Analysis with Small Objects
Theodore Zhao, Sid Kiblawi, Mu Wei et al.
CG-SSL: Concept-Guided Self-Supervised Learning
Sara Atito, Josef Kittler, Imran Razzak et al.
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
Li Ren, Chen Chen, Liqiang Wang et al.
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
Fangtong Sun, Congyu Li, Ke Yang et al.
Frequency Dynamic Convolution for Dense Image Prediction
Linwei Chen, Lin Gu, Liang Li et al.
HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery
Yu Wang, Bo Dang, Wanchun Li et al.
HumorDB: Can AI understand graphical humor?
Vedaant V Jain, Gabriel Kreiman, Felipe Feitosa
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Anthony Fuller, Yousef Yassin, Junfeng Wen et al.
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
Jin Zhang, Ruiheng Zhang, Zhe Cao et al.
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
Hongkang Zhang, Shao-Lun Huang, Ercan KURUOGLU et al.
Neural Tangent Knowledge Distillation for Optical Convolutional Networks
Jinlin Xiang, Minho Choi, Yubo Zhang et al.
Personalized Representation from Personalized Generation
Shobhita Sundaram, Julia Chae, Yonglong Tian et al.
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
Chong Tang, Joseph Powell, Dirk Koch et al.
Real2Code: Reconstruct Articulated Objects via Code Generation
Mandi Zhao, Yijia Weng, Dominik Bauer et al.
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu et al.
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
Segment Any-Quality Images with Generative Latent Space Enhancement
Guangqian Guo, Yong Guo, Xuehui Yu et al.
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
Guobin Shen, Jindong Li, Tenglong Li et al.
Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
Luca Barsellotti, Lorenzo Bianchi, Nicola Messina et al.
Text4Seg: Reimagining Image Segmentation as Text Generation
Mengcheng Lan, Chaofeng Chen, Yue Zhou et al.
Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction
Yunheng Li, Yuxuan Li, Quan-Sheng Zeng et al.
VSSD: Vision Mamba with Non-Causal State Space Duality
Yuheng Shi, Mingjia Li, Minjing Dong et al.
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Guangkai Xu, yongtao ge, Mingyu Liu et al.
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao
Agglomerative Token Clustering
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
Li Ding, Wen Fei, Yuyang Huang et al.
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision
Hussain Sajwani, Dimitrios Makris, Yahya Zweiri et al.
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang, Jian Xu, Chen Chen et al.
COCONut: Modernizing COCO Segmentation
Xueqing Deng, Qihang Yu, Peng Wang et al.
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin et al.
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
Shahaf Arica, Or Rubin, Sapir Gershov et al.
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang, Aaron Roth, Linjun Zhang
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri, Julia Grabinski, Margret Keuper
Improving fine-grained understanding in image-text pre-training
Ioana Bica, Anastasija Ilic, Matthias Bauer et al.
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
Joren Brunekreef, Eric Marcus, Ray Sheombarsing et al.
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Ben Lonnqvist, Zhengqing Wu, Michael Herzog
LiteSAM is Actually what you Need for segment Everything
Jianhai Fu, Yuanjie Yu, Ningchuan Li et al.
MESA: Matching Everything by Segmenting Anything
Yesheng Zhang, Xu Zhao
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan et al.
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
Junyi Li, Junfeng Wu, Weizhi Zhao et al.
Probabilistic Image-Driven Traffic Modeling via Remote Sensing
Scott Workman, Armin Hadzic
PSALM: Pixelwise Segmentation with Large Multi-modal Model
Zheng Zhang, YeYao Ma, Enming Zhang et al.
Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian, Weihao Yu, Xinchao Wang
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework
Wei Suo, Lanqing Lai, Mengyang Sun et al.
Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias
Jinhyeok Jang, ByungOk Han, Jaehong Kim et al.
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii et al.