conftrace_

image segmentation

1,038 papers

Explore in graph

Co-occurring keywords · papers mentioning both

semantic segmentation (310) medical imaging (92) convolutional neural network (91) object detection (82) multimodal learning (55) instance segmentation (52) neural network (52) unsupervised learning (51) zero-shot learning (41) weakly supervised learning (41)

Papers

Towards Fine-grained Interactive Segmentation in Images and Videos ICCV 2025 Towards Generalizable Scene Change Detection CVPR 2025 Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation AAAI 2025 uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images WACV 2025 Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer AAAI 2025 Unified Medical Lesion Segmentation via Self-referring Indicator CVPR 2025 Unified Open-World Segmentation with Multi-Modal Prompts ICCV 2025 Unsupervised Audio-Visual Segmentation with Modality Alignment AAAI 2025 UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels AAAI 2025 Using Diffusion Priors for Video Amodal Segmentation CVPR 2025 Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling AAAI 2025 WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration AAAI 2025 Watermark Anything With Localized Messages ICLR 2025 Your ViT is Secretly an Image Segmentation Model CVPR 2025 Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline AAAI 2025 ZIM: Zero-Shot Image Matting for Anything ICCV 2025 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024 A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024 AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024 Amodal Ground Truth and Completion in the Wild CVPR 2024 A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NeurIPS 2024 Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NeurIPS 2024 ASAM: Boosting Segment Anything Model with Adversarial Tuning CVPR 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024