https://github.com/RenMin1991/cleaned-DukeMTMC-reID
공식 코드Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
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Image Retrieval is a fundamental and long-standing computer vision task that involves finding images similar to a given query from a large database. It is often considered a form of fine-grained, instance-level classification. The task is integral to image recognition alongside classification and cross-modal retrieval. By leveraging visual similarity and other criteria, image retrieval enables users to efficiently discover relevant images, making it a crucial tool in applications such as search and recommendation.
Extending CLIP for Category-to-image Retrieval in E-commerce
<span style="color:grey; opacity: 0.6">( Image credit: DELF )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Self-supervised asymmetric deep hashing with margin-scalable constraint
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning
Temporal Attention for Cross-View Sequential Image Localization
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
Analysis and Validation of Image Search Engines in Histopathology
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.