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

Atom-Level Optical Chemical Structure Recognition with Limited Supervision CVPR 2024 BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract) AAAI 2024 BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model CVPR 2024 BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes AAAI 2024 Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension NeurIPS 2024 CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models AAAI 2024 CamoFocus: Enhancing Camouflage Object Detection With Split-Feature Focal Modulation and Context Refinement WACV 2024 CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free WACV 2024 COCONut: Modernizing COCO Segmentation CVPR 2024 Contextrast: Contextual Contrastive Learning for Semantic Segmentation CVPR 2024 Controllable Image Synthesis of Industrial Data Using Stable Diffusion WACV 2024 Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model ICLR 2024 CoralSCOP: Segment any COral Image on this Planet CVPR 2024 CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024 CPSeg: Finer-Grained Image Semantic Segmentation via Chain-of-Thought Language Prompting WACV 2024 CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping ICLR 2024 Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation CVPR 2024 CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers CVPR 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning AAAI 2024 DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024 DeiSAM: Segment Anything with Deictic Prompting NeurIPS 2024 DenoiseRep: Denoising Model for Representation Learning NeurIPS 2024 Designing a Hybrid Neural System To Learn Real-World Crack Segmentation From Fractal-Based Simulation WACV 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut NeurIPS 2024