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/Babylonpartners/fastText_multilingual

https://github.com/BurguerJohn/global_perceptual_similarity_loss

https://github.com/BurguerJohn/torch-felix

https://github.com/ByungKwanLee/Causal-Unsupervised-Segmentation

https://github.com/CAPTEteam/annotation-tool-segmentation

https://github.com/CAS-CLab/K-Nearest-Neighbors-Hashing

https://github.com/Cadene/recipe1m.bootstrap.pytorch

https://github.com/ChienYiChi/kaggle-panda-challenge

https://github.com/ChuuyaZZZ/6787-Final-project

https://github.com/Cloud-CV/vilbert-multi-task

https://github.com/CompVis/metric-learning-divide-and-conquer

https://github.com/Confusezius/ICCV2019_MIC

https://github.com/DeryanurT/Final_Project

https://github.com/Dou-Yu-xuan/vggface2-pytorch

https://github.com/DreadPiratePsyopus/Pytorch-yolo-phoc

https://github.com/Ducvoccer/mildnet

https://github.com/EIHW/Logit_Separation

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DINO

https://github.com/FEIfei-coder/circle-loss-for-reid

https://github.com/FaceOnLive/Face-Recognition-SDK-Android

https://github.com/Faceplugin-ltd/FaceRecognition-Android

https://github.com/FaizaAslam2424/Faiza-Aslam

https://github.com/FreddeFrallan/Multilingual-CLIP

https://github.com/Gbrtenorio/Gbrtenorio.github.io

https://github.com/GoFigure-LANL/DeepPatent-dataset

https://github.com/HolmesShuan/K-Nearest-Neighbors-Hashing

https://github.com/HuangXiaoquan127/Google-Landmarks-Retrieval-and-Recognition-2019-19h-Place-Solution

https://github.com/HuiDingUMD/ExprGAN

https://github.com/IISCAditayTripathi/SketchGuidedLocalization

https://github.com/Iamanorange/DSSLIC

https://github.com/IzabelaKrupinska/PROJBAD

https://github.com/J-zin/SNUH

https://github.com/JHKim-snu/PGA

https://github.com/JunweiLiang/DualAttentionNetwork

https://github.com/KeLi-SketchX/Universal-sketch-perceptual-grouping

https://github.com/Kso-Ayaka/MS_Paperwithcode/tree/main/Attribute-Aware%20Deep%20Hashing