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/jiasenlu/vilbert_beta

https://github.com/jimgoo/caffe-oxford102

https://github.com/jiwanchung/vlis

https://github.com/jmnolte/hccnet

https://github.com/johntiger1/multitask_multimodal

https://github.com/joshuaczhao/CNN-Sentence-Classifier-Reproduction

https://github.com/jppgks/style-transfer-papers

https://github.com/junshutang/Make-It-3D

https://github.com/justinbellucci/cnn-visualizations-pytorch

https://github.com/kadarakos/mulisera

https://github.com/kaiko-ai/eva

https://github.com/kakaoenterprise/BroadFace

https://github.com/kdr/videorag-mrr2024

https://github.com/keetsky/Net_ghostVLAD-pytorch

https://github.com/kelsdoerksen/giga-connectivity

https://github.com/ken90242/js-segment-annotator

https://github.com/kevin-rn/Efficient-Fact-checking

https://github.com/khalil-research/pyepo

https://github.com/khatria/Retrieving-Similar-E-Commerce-Images-Using-Deep-Learning

https://github.com/kingcong/delf

https://github.com/kornia/kornia/blob/master/kornia/feature/affine_shape.py

https://github.com/kornia/kornia/blob/master/kornia/feature/hardnet.py

https://github.com/kunhe/TALR

https://github.com/kyamagu/js-segment-annotator

https://github.com/laion-ai/clip_benchmark

https://github.com/lannguyen0910/deep-efficient-person-reid

https://github.com/lannguyen0910/deep-efficient-reid

https://github.com/laurinwagner/grouploss_plus

https://github.com/lavender105/rsgpt

https://github.com/layer6ai-labs/GSS

https://github.com/layer6ai-labs/direct-cms

https://github.com/layumi/AICIty-reID-2020

https://github.com/layumi/Person-reID-verification

https://github.com/layumi/Person_reID_baseline_pytorch

https://github.com/leehangyu/MultiGrain_Application

https://github.com/leftthomas/CGD