https://github.com/x-plug/mplug-owl
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
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/yanbeic/VAL
https://github.com/yangyucheng000/University/tree/main/model-2/blip_2
https://github.com/yfeng95/deca
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/ylsung/vl-merging
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
https://github.com/ymcidence/Zero-Shot-Sketch-Image-Hashing
https://github.com/youqingxiaozhua/abaw5
Unsupervised Facial Expression Representation Learning with Contrastive Local Warping
https://github.com/yujiacheng333/CircleLossMNIST
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/yujiapingyu/Deep-Hashing
Feature Learning based Deep Supervised Hashing with Pairwise Labels
https://github.com/yukw777/videoblip
https://github.com/yxgeee/openibl
NetVLAD: CNN architecture for weakly supervised place recognition
https://github.com/yzy-bupt/LDRE
https://github.com/yzy-bupt/SEIZE
https://github.com/zach-zhiling-zheng/reticular_chemist
https://github.com/zer0sh0t/artificial_intelligence/tree/master/self_supervised_learning_methods/self_distillation_with_no_labels
https://github.com/zfcui33/CCA
https://github.com/zhanyang-nwpu/rsvg-pytorch
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
https://github.com/zhen8838/Circle-Loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/zhu-xlab/softcon
https://github.com/zihaow123/unimm
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/zjjszj/batch-feature-erasing
Batch DropBlock Network for Person Re-identification and Beyond
https://github.com/zjjszj/ps_dm_reid
Batch DropBlock Network for Person Re-identification and Beyond
https://github.com/zju3dv/efficientloftr
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed
https://github.com/zrui94/insight_mx
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/zxy14120448/Summary
AMC: Attention guided Multi-modal Correlation Learning for Image Search
https://github.com/zzmshinnosuke/sketch
https://gitlab.com/birder/birder
https://huggingface.co/lion-ai/MedImageInsights
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.