Papers with Code 아카이브

Image Retrieval

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 10
평가표: 56
보존된 평가 기록: 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.

Image Retrieval

코드

https://github.com/L4Clippers/Patent-Image-Retrieval-Transformer-DML

https://github.com/LDVC124/2016_person_re-ID

https://github.com/LLaVA-VL/LLaVA-NeXT

https://github.com/Lieberk/Paddle-AoA-Captioning

https://github.com/MIMBCD-UI/avi-2020-short-paper

https://github.com/MIMBCD-UI/dataset-uta4-dicom

https://github.com/MIMBCD-UI/dataset-uta4-nasa-tlx

https://github.com/MIMBCD-UI/dataset-uta4-rates

https://github.com/MIMBCD-UI/dataset-uta4-sus

https://github.com/MIMBCD-UI/dataset-uta4-time

https://github.com/MS-P3/code3/tree/main/instructblip

https://github.com/MS-P3/code5/tree/main/cogvlm

https://github.com/Maymaher/StackGANv2

https://github.com/MeRKeZ/DeepDrone_Airsim

https://github.com/MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation

https://github.com/Mehrab-Tanjim/enforce-reasoning

https://github.com/Mehrab-Tanjim/vilbert-rationalization

https://github.com/MindCode-4/code-1/tree/main/tvlt

https://github.com/MindCode-4/code-11/tree/main/circle-loss

https://github.com/MindCode-4/code-5/tree/main/tvlt

https://github.com/MindCode-4/code-6/tree/main/circle-loss

https://github.com/MindSpore-paper-code-3/code2/tree/main/delf

https://github.com/MindSpore-paper-code-3/code8/tree/main/delf

https://github.com/MindSpore-scientific-2/code-4/tree/main/Deep_Feature_Factorization_For_Concept_Discovery

https://github.com/MindSpore-scientific-2/code-5/tree/main/Deep_Feature_Factorization_For_Concept_Discovery

https://github.com/MindSpore-scientific/code-14/tree/main/SGDR

https://github.com/MindSpore-scientific/code-3/tree/main/circle-loss

https://github.com/MindSpore-scientific/code-5/tree/main/SGDR

https://github.com/MindSpore-scientific/code-7/tree/main/dino

https://github.com/MindSpore-scientific/code-9/tree/main/SNUH

https://github.com/MysteryVaibhav/SCAN

https://github.com/Nanne/pytorch-NetVlad

https://github.com/NeosXu/benchmarking_pytorchvideo_and_mmaction2

https://github.com/NetoPedro/VGGFace2-Test

https://github.com/OML-Team/open-metric-learning

https://github.com/OML-Team/open-metric-learning/tree/main/pipelines/postprocessing/pairwise_postprocessing