"image segmentation" Papers

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.

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis

Hanrong Ye, Jason Wen Yong Kuen, Qing Liu et al.

SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation

Unsqueeze [CLS] Bottleneck to Learn Rich Representations

Qing Su, Shihao Ji

ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions

Chunlong Xia, Xinliang Wang, Feng Lv et al.