{"total":17,"rows":[{"id":"2405.03144","title":"PTQ4SAM: Post-Training Quantization for Segment Anything","created":"2024-05-06","cited_by_count":32,"area":null},{"id":"2402.03631","title":"CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model","created":"2024-02-06","cited_by_count":27,"area":null},{"id":"2401.13051","title":"PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation","created":"2024-01-23","cited_by_count":17,"area":null},{"id":"2404.01409","title":"OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation","created":"2024-04-01","cited_by_count":5,"area":null},{"id":"2408.11787","title":"NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation","created":"2024-08-21","cited_by_count":5,"area":null},{"id":"2511.15771","title":"UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation","created":"2025-11-19","cited_by_count":5,"area":null},{"id":"2407.12121","title":"FoodMem: Near Real-time and Precise Food Video Segmentation","created":"2024-07-16","cited_by_count":3,"area":null},{"id":"2401.14579","title":"Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model","created":"2024-01-26","cited_by_count":1,"area":null},{"id":"2411.01469","title":"Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation","created":"2024-11-03","cited_by_count":1,"area":null},{"id":"2503.05228","title":"RecipeGen: A Benchmark for Real-World Recipe Image Generation","created":"2025-03-07","cited_by_count":1,"area":null},{"id":"2503.18997","title":"Improving Food Image Recognition with Noisy Vision Transformer","created":"2025-03-24","cited_by_count":1,"area":null},{"id":"2507.17347","title":"Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2410.19756","title":"A SAM based Tool for Semi-Automatic Food Annotation","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2505.01950","title":"SARTM: Segment Any RGB Thermal Model with Language aided Distillation","created":"2025-05-04","cited_by_count":0,"area":null},{"id":"2509.19028","title":"Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2607.25820","title":"Food Image Segmentation with LLM-Derived Ingredient Labels and Multimodal Fusion","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2607.27585","title":"ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}