https://github.com/sdu-l/finecir
공식 코드FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
Papers with Code 아카이브
Image Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 10
- 평가표
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- 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/seekerhuang/harma
공식 코드Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
https://github.com/seuretm/diamond-square-fragmentation
공식 코드ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
https://github.com/seyrankhademi/AmsterTime
공식 코드AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
https://github.com/seznam/czech-semantic-embedding-models
공식 코드Some Like It Small: Czech Semantic Embedding Models for Industry Applications
https://github.com/shalev-lifshitz/grambarcodes
공식 코드https://github.com/shengyuzhang/DeVLBert
공식 코드DeVLBert: Learning Deconfounded Visio-Linguistic Representations
https://github.com/shihaoshao-gh/superglobal
공식 코드Global Features are All You Need for Image Retrieval and Reranking
https://github.com/shishicode/agot
공식 코드Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
https://github.com/shivram1987/visiontransformerhashing
공식 코드https://github.com/shiyujiao/boosting3dofaccuracy
공식 코드https://github.com/shiyujiao/highlyaccurate
공식 코드Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
https://github.com/shiyujiao/ibl
공식 코드Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
https://github.com/shotit/shotit
공식 코드Shotit: compute-efficient image-to-video search engine for the cloud
https://github.com/shuaichaochao/hybridhash
공식 코드HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
https://github.com/shuvenduroy/multimodal
공식 코드Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
https://github.com/smsharma/paperclip-hubble
공식 코드PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
https://github.com/smuelpeng/sgps-noisefreedml
공식 코드https://github.com/snowstormfly/cross-modal-retrieval-mlagt
공식 코드https://github.com/sobhanhemati/Efficient-Spectral-Hashing-ESH-
공식 코드A non-alternating graph hashing algorithm for large scale image search
https://github.com/sonalkum/compun
공식 코드https://github.com/soumickmj/micdir
공식 코드https://github.com/spandanagella/verse
공식 코드Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
https://github.com/sriramb-98/vit-decompose
공식 코드Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
https://github.com/stanis-morozov/unq
공식 코드Unsupervised Neural Quantization for Compressed-Domain Similarity Search
https://github.com/stat-ml/face-evaluation
공식 코드https://github.com/stechlab/visual-near-duplicates-detection-in-the-context-of-social-media
공식 코드Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media
https://github.com/sterzhang/image-textualization
공식 코드Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions
https://github.com/stg7/clipse
공식 코드CLIPSE -- a minimalistic CLIP-based image search engine for research
https://github.com/sthalles/carp
공식 코드Representation Learning via Consistent Assignment of Views over Random Partitions
https://github.com/sthalles/massl
공식 코드Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
https://github.com/subhadeepkoley/demosketch2rgb
공식 코드It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
https://github.com/submission6378/oneshotclip
공식 코드https://github.com/sungonce/cvnet
공식 코드https://github.com/suoych/keds
공식 코드Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
https://github.com/swagatikadash010/gender_age
공식 코드Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.