https://bitbucket.org/RToroIcarte/cn-detectors
공식 코드How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
Papers with Code 아카이브
Image Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/chhshen/fasthash
공식 코드Supervised Hashing Using Graph Cuts and Boosted Decision Trees
https://git.tu-berlin.de/rsim/image-retrieval-from-triplets
공식 코드Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
https://github.com/AAnoosheh/ToDayGAN
공식 코드Night-to-Day Image Translation for Retrieval-based Localization
https://github.com/ABaldrati/CLIP4Cir
공식 코드Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
https://github.com/AaltoVision/Object-Retrieval
공식 코드Context Aware Query Image Representation for Particular Object Retrieval
https://github.com/AlexBlck/compsketch
공식 코드https://github.com/AlexMoreo/tensorflow-Tex2Vis
공식 코드Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
https://github.com/Alibaba-MIIL/ZS_SDL
공식 코드Semantic Diversity Learning for Zero-Shot Multi-label Classification
https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace
공식 코드PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
https://github.com/AnayMehrotra/Noisy-Fair-Subset-Selection
공식 코드Mitigating Bias in Set Selection with Noisy Protected Attributes
https://github.com/AnjanDutta/sem-pcyc
공식 코드Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
https://github.com/AnnikaLindh/Diverse_and_Specific_Image_Captioning
공식 코드https://github.com/AnshanTJU/FILD
공식 코드Fast and Incremental Loop Closure Detection Using Proximity Graphs
https://github.com/AnyLoc/AnyLoc
공식 코드https://github.com/Attila94/CIConv
공식 코드https://github.com/AutoVision-cloud/SSL-ViT-lowlabel-highdata
공식 코드Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
https://github.com/BUAADreamer/SPN4CIR
공식 코드Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
https://github.com/Ben-Louis/SBIR-DASE-MEMS
공식 코드https://github.com/Chen-Junyang-cn/PLI
공식 코드Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
https://github.com/Code-kunkun/ZS-CIR
공식 코드https://github.com/Confusezius/metric-learning-mining-interclass-characteristics
공식 코드MIC: Mining Interclass Characteristics for Improved Metric Learning
https://github.com/Cuberick-Orion/Bi-Blip4CIR
공식 코드Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
https://github.com/Cuberick-Orion/CIRPLANT
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Cuberick-Orion/CIRR
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Cuberick-Orion/Candidate-Reranking-CIR
공식 코드Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
https://github.com/DagnyT/hardnet
공식 코드Working hard to know your neighbor's margins: Local descriptor learning loss
https://github.com/DannyMerkx/speech2image
공식 코드https://github.com/DavidZhang73/AssemblyVideoManualAlignment
공식 코드Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
https://github.com/DreadPiratePsyopus/Fine_Grained_Clf
공식 코드https://github.com/Drkun/ZSTCI
공식 코드https://github.com/EauDeData/DEW-NDCG
공식 코드Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
https://github.com/HanjiangHu/DASGIL
공식 코드DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
https://github.com/HanjiangHu/DISAM
공식 코드https://github.com/HarleyHK/FARF
공식 코드https://github.com/HighwayWu/SIFT-Reconstruction
공식 코드Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.