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Content-Based Image Retrieval
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Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval. Given a query image of the Sydney Harbour bridge, for instance, category-level retrieval aims to find any bridge in a given dataset of images, whilst instance-level retrieval must find the Sydney Harbour bridge to be considered a match.
Source: Camera Obscurer: Generative Art for Design Inspiration
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A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives
Reach-Avoid-Stay-Collision-Avoidance Negotiation Framework for Multi-Agent Systems via Spatiotemporal Tubes
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
Hybrid Artificial Intelligence Strategies for Drone Navigation
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings
Domain-invariant feature learning in brain MR imaging for content-based image retrieval
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
Saliency Map-based Image Retrieval using Invariant Krawtchouk Moments
Learning Generalizable Policy for Obstacle-Aware Autonomous Drone Racing
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis
Game4Loc: A UAV Geo-Localization Benchmark from Game Data
ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions
Evidential Transformers for Improved Image Retrieval
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
On Validation of Search & Retrieval of Tissue Images in Digital Pathology
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval
Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology
Texture image retrieval using a classification and contourlet-based features
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
DDOS: The Drone Depth and Obstacle Segmentation Dataset
Advancements in Content-Based Image Retrieval: A Comprehensive Survey of Relevance Feedback Techniques
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.