https://github.com/lt-asset/selp
공식 코드SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Papers with Code 아카이브
Image Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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://github.com/lucas-ventura/CoVR
공식 코드CoVR-2: Automatic Data Construction for Composed Video Retrieval
https://github.com/lugiavn/generalization-dml
공식 코드Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
https://github.com/luminosityx/hat
공식 코드Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
https://github.com/luoyan407/gradient_adjustment
공식 코드https://github.com/lyakaap/Landmark2019-1st-and-3rd-Place-Solution
공식 코드Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
https://github.com/lzh-053/hmrn
공식 코드Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
https://github.com/m2man/HADA-LAVIS
공식 코드HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
https://github.com/m2man/LGSGM
공식 코드A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
https://github.com/mahmoodlab/FISH
공식 코드https://github.com/mahmoodlab/uni
공식 코드https://github.com/mainaksingha01/splip
공식 코드Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning
https://github.com/makbari7/DSSLIC
공식 코드DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
https://github.com/marcosalfaro/tripletnetworksindoorlocalization
공식 코드Hierarchical localization with panoramic views and triplet loss functions
https://github.com/marialeyvallina/generalized_contrastive_loss
공식 코드Generalized Contrastive Optimization of Siamese Networks for Place Recognition
https://github.com/mariyahendriksen/ecir2022_category_to_image_retrieval
공식 코드Extending CLIP for Category-to-image Retrieval in E-commerce
https://github.com/martius-lab/blackbox-backprop
공식 코드https://github.com/martius-lab/solver-differentiation-identity
공식 코드Backpropagation through Combinatorial Algorithms: Identity with Projection Works
https://github.com/maryeon/whiten_mtd
공식 코드Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval
https://github.com/masih4/MedImageRetrieval
공식 코드https://github.com/masyagin1998/robin
공식 코드ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
https://github.com/matfrei/clipmasterprints
공식 코드Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
https://github.com/mauritsbleeker/ecir-2022-reproducibility-bleeker
공식 코드Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?
https://github.com/mcc-wh/csa
공식 코드Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
https://github.com/mcc-wh/ssp
공식 코드Structure Similarity Preservation Learning for Asymmetric Image Retrieval
https://github.com/mcc-wh/token
공식 코드https://github.com/mcg-nju/sorce
공식 코드https://github.com/mcgill-nlp/imagecode
공식 코드https://github.com/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/mczhuge/Kaleido-BERT
공식 코드Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
https://github.com/medarc-ai/mindeyev2
공식 코드MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
https://github.com/mesnico/TERAN
공식 코드Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders
https://github.com/mesnico/TERN
공식 코드Transformer Reasoning Network for Image-Text Matching and Retrieval
https://github.com/metra4ok/hpointloc
공식 코드HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images
https://github.com/mi92/reverse-image-rag
공식 코드Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs
https://github.com/mic-dkfz/foundation-models-for-cbmir
공식 코드Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.