https://github.com/HoinJung/Unified-Debiaisng-VLM-SFID
공식 코드A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Papers with Code 아카이브
Image Retrieval
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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/IVIPLab/FBSNet
공식 코드FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation
https://github.com/JDAI-CV/fast-reid
공식 코드FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/Jeff-Zilence/VIGOR
공식 코드VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
https://github.com/KhrulkovV/hyperbolic-image-embeddings
공식 코드https://github.com/KunpengLi1994/VSRN
공식 코드https://github.com/KuofengGao/CIBA
공식 코드Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
https://github.com/Lizonghang/PerSF-SemCom
공식 코드https://github.com/LooKing9218/RetiZero
공식 코드https://github.com/LuciusLan/Visual-RAG
공식 코드https://github.com/Luoyadan/MAH-Pytorch
공식 코드Collaborative Learning for Extremely Low Bit Asymmetric Hashing
https://github.com/MIMBCD-UI/prototype-multi-modality
공식 코드BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
https://github.com/MMIV-ML/DLMI2018
공식 코드An overview of deep learning in medical imaging focusing on MRI
https://github.com/MaJinWakeUp/HeWR
공식 코드Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval
https://github.com/MalongTech/research-ms-loss
공식 코드Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
https://github.com/MalongTech/research-xbm
공식 코드https://github.com/MiuLab/VisualDialog
공식 코드https://github.com/Monoxide-Chen/uncertainty_retrieval
공식 코드Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
https://github.com/MrZilinXiao/LongContextReranker
공식 코드LOCORE: Image Re-ranking with Long-Context Sequence Modeling
https://github.com/MubarizZaffar/VPR-Bench
공식 코드https://github.com/MultimodalGeo/GeoText-1652
공식 코드Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
https://github.com/Nik-V9/HEAPUtil
공식 코드A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
https://github.com/OliverZXY/LWSR
공식 코드Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
https://github.com/OrangeYHChen/TIPCB
공식 코드TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
https://github.com/PaddlePaddle/ERNIE
공식 코드ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
https://github.com/Paranioar/SGRAF
공식 코드https://github.com/PaulSK98/Nerf2Dataset
공식 코드Automating 3D Dataset Generation with Neural Radiance Fields
https://github.com/PkuRainBow/Hard-Aware-Deeply-Cascaded-Embedding_release
공식 코드https://github.com/Prograf-UFF/HoVW
공식 코드Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval
https://github.com/PruneTruong/DenseMatching
공식 코드PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
https://github.com/Pter61/osrcir
공식 코드https://github.com/PyRetri/PyRetri
공식 코드https://github.com/QQBrowserVideoSearch/CBVS-UniCLIP
공식 코드CBVS: A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search Scenarios
https://github.com/RAIVNLab/LLC
공식 코드LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
https://github.com/RayShark0605/On_the_fly_SfM
공식 코드https://github.com/Relja/netvlad
공식 코드NetVLAD: CNN architecture for weakly supervised place recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.