https://github.com/yahoo/crow
공식 코드Cross-dimensional Weighting for Aggregated Deep Convolutional Features
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.
https://github.com/yahoo/maaf
공식 코드Training and challenging models for text-guided fashion image retrieval
https://github.com/yakt00/IRGen
공식 코드https://github.com/yanfengliu/layered_embeddings
공식 코드https://github.com/yanghongji2007/saig
공식 코드Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
https://github.com/yash0307/RecallatK_surrogate
공식 코드Recall@k Surrogate Loss with Large Batches and Similarity Mixup
https://github.com/yash0307/recallatk
공식 코드Recall@k Surrogate Loss with Large Batches and Similarity Mixup
https://github.com/ydwen/opensphere/blob/main/opensphere/module/head/simple.py
공식 코드https://github.com/yejy53/ep-bev
공식 코드Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
https://github.com/yetigurbuz/ccp-dml
공식 코드https://github.com/yhlleo/RG-UNIT
공식 코드Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
https://github.com/yihongsun/bayesian-amodal
공식 코드Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model
https://github.com/yinjiehuang/StarSHL
공식 코드https://github.com/ymcidence/DeepSketchHashing
공식 코드Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
https://github.com/youngkyunJang/GPQ
공식 코드Generalized Product Quantization Network for Semi-supervised Image Retrieval
https://github.com/youngkyunjang/deep-hash-distillation
공식 코드https://github.com/youngkyunjang/spq
공식 코드Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
https://github.com/youngminPIL/AutoLR
공식 코드AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
https://github.com/yrcong/learning_similarity_between_graphs_images
공식 코드SPAN: Learning Similarity between Scene Graphs and Images with Transformers
https://github.com/yuleung/mixbct
공식 코드https://github.com/yulu0724/EmbeddingDistillation
공식 코드Learning Metrics from Teachers: Compact Networks for Image Embedding
https://github.com/yunxinli/ndcr
공식 코드A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
https://github.com/yuxie11/R2D2
공식 코드https://github.com/yxgeee/SFRS
공식 코드Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
https://github.com/yyf775/MultiturnFashionRetrieval
공식 코드Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback
https://github.com/zafirshi/panovpr
공식 코드https://github.com/zengyan-97/x-vlm
공식 코드Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
https://github.com/zermatt-luo/SBKA
공식 코드Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval
https://github.com/zexuanqiu/hihpq
공식 코드HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
https://github.com/zhen6618/obbinstancesegmentation
공식 코드https://github.com/zhjohnchan/ptunifier
공식 코드Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
https://github.com/zhuang-li/factual
공식 코드FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
https://github.com/zhwl2117/InstructCIR
공식 코드Compositional Image Retrieval via Instruction-Aware Contrastive Learning
https://github.com/zifyloo/SSAN
공식 코드Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
https://github.com/zinengtang/VidLanKD
공식 코드VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
https://github.com/zinengtang/tvlt
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.