https://github.com/kevinlin311tw/Caffe-DeepBinaryCode
공식 코드Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
Papers with Code 아카이브
Image Retrieval
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- 평가표
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- 372
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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/khoadoan/adversarial-hashing
공식 코드Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance
https://github.com/kid-7391/soprc
공식 코드Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
https://github.com/kirk86/ImageRetrieval
공식 코드https://github.com/kkzhang95/awesome-composed-multi-modal-retrieval
공식 코드Composed Multi-modal Retrieval: A Survey of Approaches and Applications
https://github.com/klory/cross-modal-coherence-for-text-to-image-retrieval
공식 코드https://github.com/kohjingyu/fromage
공식 코드Grounding Language Models to Images for Multimodal Inputs and Outputs
https://github.com/kohjingyu/gill
공식 코드https://github.com/kornia/kornia
공식 코드Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/kuanghuei/SCAN
공식 코드https://github.com/kwadraterry/norppa
공식 코드NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
https://github.com/layer6ai-labs/fusemix
공식 코드https://github.com/layumi/2016_person_re-ID
공식 코드A Discriminatively Learned CNN Embedding for Person Re-identification
https://github.com/layumi/A_reID
공식 코드Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
https://github.com/layumi/Image-Text-Embedding
공식 코드Dual-Path Convolutional Image-Text Embeddings with Instance Loss
https://github.com/layumi/Oxford-Paris-Attack
공식 코드Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
https://github.com/layumi/Pedestrian_Alignment
공식 코드Pedestrian Alignment Network for Large-scale Person Re-identification
https://github.com/layumi/University1652-Baseline
공식 코드University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/levelfour/pumil
공식 코드Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags
https://github.com/levymsn/ChatIR
공식 코드https://github.com/levymsn/LaSCo
공식 코드Data Roaming and Quality Assessment for Composed Image Retrieval
https://github.com/leymir/hyperbolic-image-embeddings
공식 코드https://github.com/li-xirong/jingwei
공식 코드Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
https://github.com/limanling/clip-event
공식 코드CLIP-Event: Connecting Text and Images with Event Structures
https://github.com/linty5/ccbir
공식 코드Enhancing Historical Image Retrieval with Compositional Cues
https://github.com/littleredxh/DREML
공식 코드https://github.com/littleredxh/EasyPositiveHardNegative
공식 코드https://github.com/littleredxh/HardNegative
공식 코드https://github.com/liufh1/hsl
공식 코드Hierarchical Similarity Learning for Language-based Product Image Retrieval
https://github.com/liuji93/GTH
공식 코드Optimal Projection Guided Transfer Hashing for Image Retrieval
https://github.com/liuzhuang13/Transferable_RA
공식 코드Exploring Simple and Transferable Recognition-Aware Image Processing
https://github.com/liuzrcc/PIRE
공식 코드https://github.com/lizhaoliu-Lec/DAS
공식 코드https://github.com/lkeab/BCNet
공식 코드Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
https://github.com/lluisgomez/single-shot-str
공식 코드https://github.com/lsx-uniwue/indirect
공식 코드InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.